The Aditi Technologies Data Engineer interview guide, interview questions, salary data, and interview experiences.

Aditi Technologies Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Aditi Technologies? The Aditi Technologies Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Aditi Technologies Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Aditi Technologies.</li>
<li>Practice real Aditi Technologies Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Aditi Technologies Data Engineer interview.


Getting ready for an Data Engineer interview at Aditi Technologies? The Aditi Technologies Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Aditi Technologies Data Engineer roles.
- Gain insights into the Data Engineer interview process at Aditi Technologies.
- Practice real Aditi Technologies Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Aditi Technologies Data Engineer interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Aditi Technologies Data Engineer Interview Process

You are tasked with keeping track of a customer’s addresses in your database.

However, customer’s addresses change whenever they move. We want to keep track of their moving history as well as the person that moves in afterwards.

How would you create or modify a schema to keep track of these address changes?

Create a schema to keep track of customer address changes

Address Schema

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

Aditi Technologies Data Engineer Interview Questions

We are seeking a Data Engineer with expertise in relational databases, healthcare data, medical terminology, ETLs, data exchange, and GCP to join Medeloop, an early-stage startup. As a Data Engineer at Medeloop, you will not only design, develop, and maintain our data infrastructure but also engage in a variety of engineering functions, offering a fantastic opportunity for exposure and growth. Working closely with our data science and product teams, you will ensure that our data architecture meets the evolving needs of the business. This role is ideal for those who are eager to help out wherever needed and are looking for great growth and leadership opportunities as we expand.
Key Responsibilities:
Drive the design, implementation, and maintenance of our data infrastructure on GCP
Develop ETL pipelines using GCP Dataflow and Cloud Storage to ingest, transform, and load data from various sources
Collaborate with data science and product teams to understand data requirements and develop solutions to meet those requirements
Develop data exchange protocols using GCP services like Cloud Functions, Cloud Workflows and Cloud Pub/Sub to facilitate the transfer of data between parties
Build vector databases to store and manage complex healthcare terminology using CloudSQL
Ensure the security and integrity of our data infrastructure by implementing appropriate security measures and data governance policies
Design and optimize large-scale Spark workloads on Cloud Dataproc
Continuously evaluate and improve our data infrastructure to ensure that it meets the evolving needs of the business and industry trends
Who You Are:
Bachelor's or Master's degree in Computer Science, Data Science, a related field, or equivalent experience
3+ years of experience as a data engineer, preferably in the healthcare industry
Experience with traditional programming languages such as Python, Java, or Scala
Experience leading the design and implementation of data infrastructure projects on GCP
Experience with ETL and Big Data services and frameworks such as Cloud Dataproc, BigQuery, Apache Spark, and others.
Experience with GCP services like Cloud Storage, CloudSQL, Cloud Functions, Cloud Workflows
Experience developing cloud infrastructure using Terraform
Knowledge of data governance and security best practices
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Ability to work independently and in a team environment
Passion for using data to improve healthcare outcomes
Nice To Have    Strong knowledge of vector databases, medical terminology, and healthcare data
Experience with healthcare common data models and data exchange protocols such as OMOP CDM, FHIR, and others
Experience with AWS services (EMR, StepFunctions, Lambdas, Aurora RDS, Glue)
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Have you worked with healthcare data subject to HIPAA compliance requirements? If not, do you have experience handling other types of sensitive or regulated data? *

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Title: Sr. Data Engineer/ArchitectLocation: US RemoteWork Authorization: US Citizen or Green CardType: Contract to hire/FTE SCOPE:Kanini is seeking a highly skilled Senior Data Engineer with deep expertise in Microsoft technologies, Power BI, and strong working knowledge of both Azure Data Services and Google Cloud Platform (GCP). This role plays a key part in supporting our data-driven initiatives by designing and maintaining scalable data infrastructure and ensuring seamless access to critical insights across the organization. Key Responsibilities<ul><li>Data Infrastructure & Architecture: Design, build, and maintain high-performance, scalable, and reliable data pipelines and data architectures on Azure and GCP platforms.</li><li>Data Warehousing: Develop and manage cloud-based data warehouse solutions, particularly using BigQuery and Snowflake, ensuring optimized storage and query performance.</li><li>ETL/ELT Development: Create robust ETL/ELT processes to ingest structured and unstructured data from diverse sources, including point-of-sale (POS) systems, product usage logs, web/eCommerce platforms, and geolocation data.</li><li>Analytics & Reporting Enablement: Enable data access for business users and analysts by building effective reporting layers and dashboards using tools like Power BI, Tableau, and Looker.</li><li>Collaboration & Stakeholder Engagement: Work closely with data analysts, data scientists, and business stakeholders to define data requirements and deliver actionable insights aligned with business goals.</li><li>Performance Optimization & Troubleshooting: Monitor data pipelines for performance, reliability, and integrity. Optimize queries, manage data partitioning and clustering, and resolve technical issues swiftly.</li><li>Governance & Security: Ensure adherence to data governance, quality, and security best practices across all data handling processes.</li><li>Tooling: Utilize modern data orchestration and workflow tools such as Cloud Composer (Apache Airflow), ADF, Pub/Sub, and Cloud Storage to support data movement and transformation.</li></ul> Required Qualifications<ul><li>Strong proficiency in SQL with expertise in advanced query tuning and performance optimization.</li><li>Solid hands-on experience with Python for data engineering tasks.</li><li>Proven experience working with cloud platforms (Azure and/or GCP), especially integrating with Snowflake.</li><li>Familiarity with Azure Data Factory, Synapse Analytics, and Microsoft Fabric.</li><li>Deep understanding of data modeling and the ability to design scalable data solutions.</li><li>Demonstrated ability to implement and enforce data governance and security practices.</li><li>Experience in agile and product-centric environments.</li><li>Excellent communication and collaboration skills, with a proactive approach to stakeholder engagement.</li></ul>

About the RoleWe are a fast-growing, consumer-focused marketplace that matches millions of customers with unforgettable food experiences. As a Data Engineer, you will be the connective tissue between raw data and business-defining insights, enhancing how shoppers discover, order, and enjoy their favorite dishes nationwide.You will collaborate with full-stack and machine-learning engineers, analysts, and product managers to design, build, and refine the data infrastructure that powers everything from real-time recommendations to revenue dashboards. If you thrive on turning messy datasets into trustworthy, actionable information at scale, we’d love to meet you. What You’ll Do<ul><li>Build & Optimize Pipelines – Architect batch and streaming ETL/ELT workflows that move billions of records with reliability and speed.</li><li>Model the Data Layer – Create and maintain dimensional and normalized schemas that support analytics, machine-learning, and operational reporting.</li><li>Champion Data Quality – Define monitoring, testing, and governance standards to keep our data accurate, secure, and compliant.</li><li>Level-Up Engineering Practices – Apply CI/CD, automated testing, and version control to every data workflow for fast, safe deploys.</li><li>Partner Cross-Functionally – Work hand-in-hand with product, analytics, and ML teams to translate business questions into data solutions that drive growth.</li></ul> What You’ll Bring<ul><li>5+ years of hands-on experience in data engineering or analytics engineering for high-traffic products.</li><li>Expert SQL skills and strong Python proficiency (additional languages welcome).</li><li>Proven success with modern orchestration and streaming tools (Airflow, dbt Cloud, Fivetran, Kafka/Flink, etc.).</li><li>Deep understanding of cloud warehouses—ideally Snowflake on AWS (Redshift, BigQuery, or Databricks also valued).</li><li>Familiarity with BI and reporting platforms such as Metabase or Sigma.</li><li>Comfort with Git-based workflows, automated testing, and code reviews.</li><li>Ability to balance long-term architectural vision with day-to-day delivery in a lean, collaborative team.</li></ul> Why You’ll Love It Here<ul><li>Impact at Scale – Your pipelines will touch every facet of the customer journey, from “What should I eat tonight?” to “Where’s my delivery?”.</li><li>Modern Stack, Green-Field Projects – Help shape a data platform that’s still early enough for big technical decisions and minimal legacy baggage.</li><li>Competitive Package – Target base salary $140 k – $190 k (commensurate with experience) plus meaningful equity and comprehensive benefits.</li><li>Flexible Location – Work from anywhere in the U.S. with quarterly in-person meetups to stay connected.</li><li>Mission-Driven Team – Join colleagues who believe food brings people together—and who love building tech that makes that happen every day.</li></ul>

Job Description:Role Summary/Purpose:We are looking for a AVP Principal Data Engineer to lead the development of consumer-centric low latency analytic environment leveraging Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing, and challenging work environment, and will play an important role in resolving and influencing high-level decisions across Synchrony.Our Way of WorkingWere proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.Essential Responsibilities:<ul><li>Design, develop and lead data engineering applications in highly agile and fast-moving teams.</li><li>Lead a data engineering team and roll up the sleeves to individually contribute when required.</li><li>Implement ETL/ELT on a big data platform (Cloudera Hadoop cluster) / Container using Ab Initio, Spark, Hive, Kafka, RDBMS(Oracle, MySQL), NoSQL databases(Cassandra), and public cloud solutions.</li><li>Responsible for design, development, testing oversight and production implementation.</li><li>Experience with batch and real-time data pipelines in a DevOps environment using Ab Initio and Spark.</li><li>Work closely with Product owners, Product Managers, Program manager, scrum masters in a Scaled Agile framework.</li><li>Partner with architects to efficiently design data applications with scalability, resiliency and speed.</li><li>Lead data engineering team to drive program delivery.</li><li>Drive technical development and application standards across enterprise data lake and data warehouse.</li><li>Accomplish results by communicating expectations; planning, monitoring, and appraising results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards.</li><li>Collaborate across cross-functional teams to improve and deliver on business objectives and priorities.</li><li>Apply technical knowledge, industry experience, expertise, and insights to contribute to the development & execution of Engineering capabilities.</li><li>Stays up-to-date on latest trends in data engineering, recommends best practices, develops innovative frameworks to avoid redundancy by promoting automation.</li><li>Mentor and coach the team to promote Synchrony values and culture.</li><li>Perform other duties and/or special projects as assigned.</li></ul>Qualifications/Requirements:<ul><li>Bachelor's degree preferred with a concentration of study in Computer Science, Engineering or related field and 4 to 5 years of work experience with ELT/ETL/Data warehousing, large scale Data environments e.g., Cloudera and public cloud (AWS preferred) using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL)</li><li>In lieu of a degree, a certification in related field and 8 to 9 years of work experience with above mentioned exposure to large scale data environments.</li></ul>Desired Characteristics:<ul><li>Prior experience as a Data Engineering Technical Lead leading team in Scaled Agile framework.</li><li>Strong experience and deep understanding of ETL, data warehousing, data lakes (Hadoop & Spark) and analytics concepts.</li><li>Experience owning multiple mission critical applications on data platform.</li><li>Experience with batch and real-time data pipelines in a DevOps environment.</li><li>Must be willing to work in a fast-paced environment with globally located Agile teams working in different shifts.</li><li>Ability to develop and maintain strong collaborative relationships at all levels across IT and Business Stakeholders.</li><li>Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely /actionable follow-through.</li><li>Experience in designing ETL pipelines to enable automated data load into AWS S3 & Redshift.</li><li>Prior work experience in a Credit Card/Banking/Fin Tech company.</li><li>Experience dealing with sensitive data in a highly regulated environment.</li><li>Demonstrated implementation of complex and innovative solutions.</li><li>Articles and publications in the field of data engineering.</li><li>Nice to have AWS Solution Architect/Data Engineer certification.</li><li>Be the captain of the team, led by example, go beyond the boundaries, motivate, and a team player.</li></ul>Grade/Level: 11The salary range for this position is 110,000.00 - 185,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.Salaries are adjusted according to market in CA, NY Metro and Seattle.Eligibility Requirements:<ul><li>You must be 18 years or older</li><li>You must have a high school diploma or equivalent</li><li>You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process</li><li>You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.</li><li>New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you dont meet the time in position or performance expectations).</li></ul>Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment:When you join us, youll be part of a diverse, inclusive culture where your skills, experience, and voice are not only heardbut valued. We celebrate the differences in all of us and believe that our individual, unique perspectives is what makes Synchrony truly a great place to work. Together, were building a future where we can all belong, connect and turn ideals into action. Through the power of our 8 <a href="https://www.synchronycareers.com/our-culture/#diversity" target="_blank">Diversity Networks+</a>, with more than 60% of our workforce engaged, youll find community to connect with an opportunity to go beyond your passions.This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.Reasonable Accommodation Notice: <ul><li>Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.</li><li>If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am 5pm Monday to Friday, Central Standard Time</li></ul>Job Family Group:Information Technology

Lead Data Engineer (Python, AWS, Snowflake)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, <a href="https://www.capitalone.com/diversity/business-resource-groups/" target="_blank"> </a>inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the Team:As a Lead Data Engineer, you would join our product data team and be responsible for building and maintaining sophisticated data pipelines that ingest data from major auto customers, utilizing advanced AWS services including EMR, S3, Iceberg and Databricks. Your work will directly impact thousands of auto dealerships across the US in the way they run their business and unleash the power of data to all. With your expertise in Python and cloud-based data solutions, you will play a key role in enhancing our analytics capabilities and transforming raw data into valuable business intelligence.What Youll Do:<ul><li>Lead design and build Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights</li><li>Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python</li><li>Lead a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets</li><li>Influence best practices for Data Pipeline design, Data architecture and processing of structured and unstructured data.</li><li>Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams</li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community</li><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>Basic Qualifications: <ul><li>Bachelors Degree </li><li>At least 4 years of experience in application development (Internship experience does not apply)</li><li>At least 2 years of experience in big data technologies </li><li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul>Preferred Qualifications:<ul><li>7+ years of experience in application development including Java, Python, SQL, or Scala </li><li>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>4+ years experience with Distributed data computing tools (Flink, Kafka, Spark)</li><li>4+ year experience working on real-time data and streaming applications </li><li>4+ years of experience with NoSQL implementation (DynamoDB, OpenSearch) </li><li>4+ years of data warehousing experience (Redshift or Snowflake) </li><li>4+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>2+ years of experience with Agile engineering practices </li></ul>At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Plano, TX: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Data Engineer (Python, SQL, AWS) - Navigator Platform TechDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the Team:Our Navigator Platform teams are focused on creating an exceptional car-buying experience for customers through an end-to-end digital auto-buying platform. Auto Navigator and Dealer Navigator are two ends of our industry-leading platform that allow customers to easily finance a car, while helping dealers create the perfect deal for customers' auto loans. What Youll Do:<ul><li>Be a part of team designing and building Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights</li><li>Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python</li><li>Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets</li><li>Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams</li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community</li><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>Basic Qualifications: <ul><li>Bachelors Degree </li><li>At least 3 years of experience in application development (Internship experience does not apply)</li><li>At least 1 year of experience in big data technologies </li></ul>Preferred Qualifications: <ul><li>5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>3+ years experience with Distributed data computing tools (Kafka, Spark, Flink)</li><li>2+ year experience working on real-time data and streaming applications </li><li>2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch) </li><li>2+ years of data warehousing experience (Redshift or Snowflake) </li><li>3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>2+ years of experience with Agile engineering practices </li></ul>At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Plano, TX: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Data Engineer (Python, Spark, AWS)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,<a href="https://www.capitalone.com/diversity/business-resource-groups/" target="_blank"> </a>inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the Team:The Gemini team within Card Data Engineering and Analytics (CDEA) is developing the target state for one time depersonalization pipelines. This initiative will provide our data science partners with a self-service process to depersonalize data on demand, enabling rapid testing of machine learning models. This new approach will significantly accelerate the enrichment of the depersonalization ecosystem with new features and empower faster exploratory analysis compared to the current process.What Youll Do:<ul><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake</li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>Basic Qualifications: <ul><li>Bachelors Degree </li><li>At least 3 years of experience in application development (Internship experience does not apply)</li><li>At least 1 year of experience in big data technologies </li></ul>Preferred Qualifications: <ul><li>5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li><li>2+ year experience working on real-time data and streaming applications </li><li>2+ years of experience with NoSQL implementation (Mongo, Cassandra) </li><li>2+ years of data warehousing experience (Redshift or Snowflake) </li><li>3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>2+ years of experience with Agile engineering practices </li></ul>At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $158,600 - $181,000 for Senior Data Engineer Richmond, VA: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Data Engineer, Navigator Platform (Python, AWS, Spark)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the team: Join our world-class engineering team building cutting-edge SaaS products for car dealerships on the Capital One Navigator platform. We're an integral part of the Revenue Operations experience, designing and maintaining innovative tools that seamlessly onboard dealers, drive significant revenue, and optimize product pricing. Our core responsibility is architecting highly available and resilient data pipelines, ensuring real-time, 100% accurate data for the platform. We also manage data governance, infrastructure monitoring, and continuous optimization. This role is a chance to tackle complex engineering challenges and contribute to a high-impact product.What Youll Do:<ul><li>Be a part of team designing and building Enterprise Level scalable, low-latency, fault-tolerant streaming data platform that provides meaningful and timely insights</li><li>Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink, Spark Streaming) using programming languages like Java, Scala, Python</li><li>Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets</li><li>Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards, and partnership with Cyber & Security teams</li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community</li><li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li><li>Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</li><li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li></ul>Basic Qualifications: <ul><li>Bachelors Degree </li><li>At least 3 years of experience in application development (Internship experience does not apply)</li><li>At least 1 year of experience in big data technologies </li></ul>Preferred Qualifications: <ul><li>5+ years of experience in application development including Python, SQL, Scala, or Java</li><li>2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li><li>3+ years experience with Distributed data computing tools (Kafka, Spark, Flink)</li><li>2+ year experience working on real-time data and streaming applications </li><li>2+ years of experience with NoSQL implementation (DynamoDB, OpenSearch) </li><li>2+ years of data warehousing experience (Redshift or Snowflake) </li><li>3+ years of experience with UNIX/Linux including basic commands and shell scripting</li><li>2+ years of experience with Agile engineering practices </li></ul>At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Plano, TX: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data Engineer - 2 years' experience; Hybrid 40% Office/60% Home  Data Engineer - 2 years' experience; Hybrid 40% Office/60% Home  1 week ago Be among the first 25 applicants
Job Description

We are seeking a detail-oriented and proactive
Job Description

We are seeking a detail-oriented and proactive  Data Engineer  with 2–3 years of experience to join our team. The ideal candidate will be  proficient in SQL and Python , with hands-on experience in  Snowflake ,  SQL Server ,  GitHub , and  VSCode . You will play a critical role in monitoring, maintaining, and improving our data warehouse environment and related data processes.

Key Responsibilities

Monitor and troubleshoot Snowflake and SQL Server environments to ensure data pipeline reliability and integrity.
Identify, investigate, and resolve data quality issues and anomalies within the data warehouse.
Manage and maintain data shares across Snowflake environments.
Develop, execute, and automate monthly processes and reporting for customers.
Improve and support audit workflows, including automation and financial/audit calculations.
Collaborate cross-functionally with internal teams to develop automation for data ingestion, transformation, and reporting.
Handle CSV-based data ingestion and manage FTP data transfers securely and reliably.
Oversee whitelisting, account access, and invoice-to-process mapping tasks as part of data operations.
Design and implement new customer audits by analyzing and interpreting financial datasets.
Build and maintain ETL/data pipelines using Python, SQL, and Snowflake best practices.
Create clear and actionable analytical reports, and communicate findings to technical and non-technical stakeholders.
Perform data transformation and cleaning to prepare data for business consumption and reporting.

Required Skills & Experience

2–3 years of experience working in a data engineering or data operations role.
Strong proficiency in SQL (Snowflake and SQL Server) and Python for data manipulation and scripting.
Comfortable using GitHub for version control and VSCode as a development environment.
Familiarity with Snowflake Standard Edition features and best practices.
Experience troubleshooting warehouse errors and optimizing performance.
Ability to document workflows, communicate issues, and drive process improvements.
Strong attention to detail, organization, and ability to manage multiple priorities.

Educational Requirement:

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
Previous experience or internship experience is a plus.
Certifications are also considered a plus.

Salary:

The starting salary will be based on the candidate's experience and qualifications

If you're ready to take on a dynamic role that combines SQL, Python, and transportation logistics, apply now to join our innovative team! Please submit your application along with your resume and cover letter. We look forward to hearing from you!

Company Description

Learn about us at www.gtms.us

Learn about us at www.gtms.us
Seniority level    Seniority level Entry level
Employment type    Employment type Full-time
Job function    Job function Information Technology
Industries Truck Transportation
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The Data Engineer will own the data infrastructure for the Reverse Logistics Team which includes collaboration with software development teams to build the data infrastructure and maintain a highly scalable, reliable and efficient data system to support the fast growing business. You will work with analytic tools, can write excellent SQL scripts, optimize performance of SQL queries and can partner with internal customers to answer key business questions. We look for candidates who are self-motivated, flexible, hardworking and who like to have fun.

About the team
Reverse Logistics team at Amazon Hyderabad Development Center is an agile team whose charter is to deliver the next generation of Reverse Logistics platform. As a member of this team, your mission will be to design, develop, document and support massively scalable, distributed data warehousing, querying and reporting system.
BASIC QUALIFICATIONS  - 2+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Knowledge of AWS Infrastructure
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Strong analytical and problem solving skills. Curious, self-motivated & a self-starter with a ‘can do attitude’. Comfortable working in fast paced dynamic environment
PREFERRED QUALIFICATIONS  - Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Proven track record of strong interpersonal and communication (verbal and written) skills.
- Experience developing insights across various areas of customer-related data: financial, product, and marketing
- Proven problem solving skills, attention to detail, and exceptional organizational skills
- Ability to deal with ambiguity and competing objectives in a fast paced environment
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Aditi Technologies Data Engineer Interview Guide

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