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

AllCloud Data Engineer Interview Guide

Getting ready for an Data Engineer interview at AllCloud? The AllCloud Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for AllCloud Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at AllCloud.</li>
<li>Practice real AllCloud 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 AllCloud Data Engineer interview.


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

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

Overview

AllCloud Data Engineer Salary

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.

Python

Machine Learning

Product Metrics

A/B Testing

Analytics

Statistics

Probability

Algorithms

AllCloud Data Engineer Interview Process

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

Given a table called <code>employees</code>, get the largest salary of any employee by department

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>largest_salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Write a query to get the largest salary of any employee by department

Largest Salary by Department

You are given a dictionary with a key-value of <code>{string: number}</code> where values in the dictionary could be duplicates. You are required to extract the unique values from the dictionary where the value occurred only once.

Return a list of values where they occur only once.

Note: You can return the values in any order.

Input:

<pre tabindex="0" class="chroma"><code>dictionary = {&#34;key1&#34;: 1, &#34;key2&#34;: 1, &#34;key3&#34;: 7, &#34;key4&#34;: 3, &#34;key5&#34;: 4, &#34;key6&#34;: 7}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>find_unique_values(dictionary) -&gt; [3,4]

#Only 3 and 4 occurred once.
</code></pre>

Dictionary Unique Values

AllCloud Data Engineer Interview Questions

Responsibilities:<ul><li>Accountable for developing and delivering technological responses to targeted business outcomes.</li><li>Analyze, design, and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise.</li><li>Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed.</li><li>Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses.</li><li>Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51.</li><li>Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms.</li><li>Define high-level migration plans to address the gaps between the current and future state.</li><li>Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions.</li><li>Analyze technology environments to detect critical deficiencies and recommend solutions for improvement.</li><li>Promote the reuse of data assets, including the management of the data catalog for reference.</li><li>Draft architectural diagrams, interface specifications and other design documents</li><li>Must be able to perform the essential job functions of this position with or without reasonable accommodation.</li><li>This engineer will be responsible for partnering with users of the platform guide them to follow best practices, building new use cases to support the product teams, support & monitor the platform to keep cost low and improve performance. Partner with external vendors Databricks & azure to learn industry best practices and influence teams in MX to leverage the same.</li><li>Demonstrate the company s core values of respect, honesty, integrity, diversity, inclusion, and safety.</li></ul>Qualifications:<ul><li>Bachelor's Degree in computer science, software engineering, or related field</li><li>4+ years experience in the data development and principles including end-to-end design patterns.</li><li>4+ years proven track record of delivering large scale, high quality operational or analytical data systems.</li><li>4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers.</li><li>Any experience in a minimum of two of the following technical disciplines: data warehousing, big data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management</li><li>Excellent oral/written communication skills</li></ul>Desired:<ul><li>Any experience with SSAS Tabular models, Power BI, Dataflows and DAX</li><li>Any experience with Azure Data Platform stack: Azure Data Lake, Data Factory and Databricks</li><li>Any experience with Python, Spark and SQL</li><li>Any experience with Terraform.</li><li>Any experience with streaming technologies like Kafka, IBM MQ and EventHub</li><li>Any experience with data science solutions or platforms</li><li>Any experience with a variety of SQL, NoSQL, and Big Data Platforms</li><li>Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)</li></ul>

Job Title: Data Engineer Location: Hybrid (On-site in Nashville, TN) Salary: Up to $120,000 per year Job Description: We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. This hybrid role will require regular on-site presence in our Nashville, TN office. The ideal candidate will have a strong background in data engineering with over four years of relevant experience, a proficiency in multiple programming languages, and substantial expertise in ETL processes and Snowflake. Key Responsibilities:<ul><li>Design, develop, and maintain robust data pipelines and ETL processes to support data integration, transformation, and loading.</li><li>Optimize and manage data architecture using Snowflake to ensure efficient and secure data storage and access.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver solutions that drive business insights.</li><li>Develop, test, and deploy code in programming languages such as Python, Java, SQL, or Scala to manipulate and process large datasets.</li><li>Implement and manage data workflows in cloud environments (AWS, Azure, GCP) to enhance scalability and performance.</li><li>Integrate data into reporting and visualization tools such as Tableau, Power BI, and SAP to facilitate data-driven decision making.</li><li>Ensure data quality and integrity through rigorous testing, validation, and monitoring of data pipelines.</li><li>Stay current with industry best practices and emerging technologies in data engineering and cloud computing. </li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>4+ years of relevant experience in data engineering, with a strong emphasis on ETL processes and Snowflake.</li><li>Proficiency in programming languages such as Python, Java, SQL, or Scala.</li><li>Experience with cloud-based data platforms like AWS, Azure, or GCP is highly desirable.</li><li>Familiarity with data integration into reporting platforms such as Tableau, Power BI, and SAP.</li><li>Strong analytical and problem-solving skills with a keen attention to detail.</li><li>Excellent communication and teamwork abilities.</li><li>Ability to work in a hybrid environment, with regular on-site presence in Nashville, TN.</li></ul>

Job role : Snowflake Secanalytic Data EngineerLocation : Fort WorthJob Type: Contract Description:<ul><li>We are seeking a talented and passionate Cybersecurity Snowflake Secanalytic Data Engineer to join our dynamic team. </li><li>In this role, you will play a crucial part in ensuring the security and integrity of our data infrastructure while leveraging the power of Snowflake's cloud data warehouse. </li><li>If you thrive in a fast-paced environment, have a strong background in cybersecurity, and love working with cutting-edge technologies, we'd love to hear from you! </li><li>## Responsibilities - Data Security and Compliance: Collaborate with cross-functional teams to design, implement, and maintain robust data security measures.</li><li>Ensure compliance with relevant cybersecurity laws, regulations, and frameworks.</li><li>Snowflake Data Engineering: Develop, optimize, and manage large-scale data analytics solutions using the Snowflake Data Warehouse. </li><li>Leverage your expertise to create efficient data pipelines, ETL processes, and data models.</li><li>Secanalytic Expertise: Serve as the go-to expert on security analytics.</li><li>Analyze data to identify threats, vulnerabilities, and anomalies.</li><li> Implement proactive measures to safeguard our systems and data.</li><li>Collaboration: Work closely with business stakeholders, security teams, and data scientists to align data security strategies with organizational goals.</li><li>Performance Optimization: Continuously monitor and enhance data processing performance. </li><li>Optimize queries, improve data ingestion processes, and fine-tune Snowflake configurations.</li><li>Documentation and Training: Document data engineering processes, best practices, and security protocols. </li><li>Provide training and guidance to team members.</li></ul> ## Qualifications<ul><li>Education: Bachelor's degree in Computer Science, Information Systems, or a related field.</li><li>Advanced degrees or certifications (e.g., CISSP, CISM, SnowPro) are a plus. – </li><li>Experience: - Minimum of 3 years in data engineering, with a focus on Snowflake. </li><li>Strong background in cybersecurity and data protection. - Familiarity with secanalytic techniques and tools. – </li></ul> Technical Skills: - Proficiency in SQL, Python, or other relevant programming languages. - Experience with Snowflake Cloud Data Warehouse. - Knowledge of ETL processes, data modeling, and performance optimization. - Soft Skills: - Excellent communication and collaboration abilities. - Analytical mindset with a passion for problem-solving. - Adaptability to evolving security landscapes. Glider Assessment Required?Additional Details Glider Assessment Required? : NoGlider Assessment Name (If Applicable) (drop down) : N/ADoes Contractor Need Their Own Laptop? : YesLaptop Specs : Mac, 32 GB RAM, 1TB

ONLY US CITIZEN and GC Holders - NO VISA SPONSORSHIP - NO TRANSFERS Data Engineer - Full time Job - On-site at Las Vegas, NV Please email your word copy resume to sai@quintalent.com. Salary range is $85k to max $110k plus benefits package and it’s 100% on-site at Las Vegas. Relocation assistance is applicable between $5k up to maximum of $25k upon submission of receipts. The primary responsibility of the Data Engineer II – Enterprise Analytics is assisting in designing, developing, and deploying data-driven solutions as part of Enterprise Analytics data strategy and goals. Data Engineer II – Enterprise Analytics is responsible for creating reliable ETLs and scalable data pipelines to support Analytics and BI environment (including modeling and machine learning, visualizations, reports, cubes & applications, etc.). Data Engineer II – Enterprise Analytics participates in data modeling and development of data models and data marts by interpreting business logic required to turn complex ideas into a sustainable value add processes. Position Overview Essential Duties & Responsibilities • Collaborate with Enterprise Analytics BI Analysts and Data Scientists, and other business stakeholders to understand business problems and build/automate data structures ingested by analytics products (e.g.: reports, dashboards, cubes, etc.). • Create BI solutions, including dashboards (Power BI) and reports (SSRS, Excel, and Cognos). • Development of logic for KPIs requested by the business leadership. • Troubleshoot existing and create new ETLs, SSIS packages, SQL stored procedures and jobs. • Assist in Star and Snowflake modeling, creating dimensional models and ETL processes. • Write an efficient SQL code for use in data pipelines and data processing. • Drive data quality processes like data profiling, data cleansing, etc. • Develop best practices and approaches to support continuous process automation for data ingestion and data pipelines. • Use innovative problem solving and critical thinking approaches to troubleshoot challenging data obstacles. • Test, optimize, troubleshoot, and fine-tune queries for maximum efficiency. • Maintain existing and create new Microsoft Power Apps solutions (including but not limited to Power Apps, Power Automate, Power BI, Flows, etc.) according to business needs. • Perform QA and UAT processes to foster an agile development cycle. • Create documentation on table design, mapping out steps and underlying logic within data marts to facilitate data adoption with minimum guidance from the Enterprise Analytics management. • Identify areas of improvement not just in owned work, but also other areas of the business. • Mentor and train junior Data Engineers on best practices, query and ETL optimization techniques. • Create and maintain daily, weekly, monthly, quarterly reports and dashboards. • Consolidate fractured enterprise reporting into a standardized product for easy visualization and cross-departmental understanding. • Create reporting structures that accurately link cross-departmental data, which allows for on demand delivery of ad-hoc reports. • Safety is an essential function of this job. • Consistent and regular attendance is an essential function of this job. • Performs other related duties as assigned. Company Standards of Conduct All The Team Members are expected to conduct and carry themselves in a professional manner at all times. Team Members are required to observe the Company’s standards, work requirements and rules of conduct. Minimum Qualifications • 21 years of age. • Proof of authorization/eligibility to work in the United States. • Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or related field is required. • Master’s degree in related discipline is preferred. • Must be able to obtain and maintain a Nevada Gaming Control Board registration and any other certification or license, as required by law or policy. • 2+ years of experience in building data pipelines and ETL processes is required. • 2+ years of experience creating visualizations and reports (Power BI, Tableau, MicroStrategy, Google Analytics) is required. • 2+ years of experience in writing advanced SQL, data mining and working with traditional relational databases (tables, views, window functions, scalar and aggregate functions, primary/foreign keys, indexes DML/DDL statements, joins and unions) and/or distributed systems (Hadoop, Big Query) is required. • 1+ years of experience with programming/scripting languages such as Python, R or Big Query is required. • Experience in either Microsoft Power Suite (Power Apps, Power Automate, Power BI, etc.), Microsoft Azure, Google Cloud Platform, or RPA tools is preferred. • Excellent understanding of data types, data structures and database systems and their specific use cases is required. • Strong understanding of data modeling principles including Dimensional modeling, and Data Normalization principles is required. • Extensive knowledge of Microsoft Excel (Excel formulas, data wrangling, VBA macros, graphs, and pivot tables) is required. • Excellent critical thinker and effective problem solver with creative solutions. Physical Requirements Must be able to: • Lift or carry 10 pounds, unassisted, in the performance of specific tasks, as assigned. • Physically access all areas of the property and drive areas with or without a reasonable accommodation. • Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts. • Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts. • Ability for prolonged periods of time to walk, stand, stretch, bend and kneel. • Work in a fast-paced and busy environment. • Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke

Job Description: We are seeking a talented and versatile Data Scraping and Natural LanguageProcessing (NLP) Engineer to join our dynamic team. As a key member, you will be responsiblefor designing, developing, and maintaining web scrapers using Scrapy framework for dataextraction from various news websites, as well as implementing advanced NLP algorithms andmodels to extract valuable insights from unstructured text data. You will be required to: Design, develop, and maintain web scrapers using Scrapy framework for structured dataextraction. Implement distributed crawling techniques to handle large-scale data extraction efficiently. Utilize Docker for containerization and deployment of scraping applications. Integrate SQL Alchemy for database management and storage of scraped data Implement ML/NLP techniques for extracting entities like article headings, dates, authornames, and article content. Develop and implement NLP algorithms and models to extract valuable information fromarticle data. Deploy code on the server and integrate the extracted data into a MySQL database. Utilize advanced NLP techniques and machine learning algorithms for tasks such as namedentity recognition (NER), sentiment analysis, topic modelling, etc. Collaborate with cross-functional teams to understand requirements and refine algorithms. Evaluate and improve the performance of NLP models through experimentation anditeration. Monitor and optimize scraping and NLP processes for performance and reliability. Stay up-to-date with the latest advancements in web scraping, NLP, and machine learningresearch. Requirements: Bachelor's degree in Computer Science, Engineering, or related field; Master's degreepreferred. Relevant work experience of minimum 2-3 years Proven experience with web scraping using Scrapy framework and natural languageprocessing (NLP) techniques. Strong proficiency in Object-Oriented Programming (OOP) principles and Pythonprogramming language. Experience with distributed crawling techniques and Docker for containerization anddeployment. Familiarity with SQL Alchemy for database management and MySQL for databaseintegration.  Experience in implementing ML/NLP techniques for data extraction, sentiment analysis,named entity recognition (NER), topic modelling, etc. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills with the ability to explain complex technicalconcepts. Ability to work independently and collaboratively in a fast-paced environment.

About Us:LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit <a>www.ltimindtree.com</a>. Job Title:MSBI- Lead Data engineer Work LocationRaleigh, NC - Hybrid ResponsibilitiesImplement best practices for Fraud data repositories and internal systemsUpdate Data Engineering architectureRequirements/analysis skillsImplement processes for data accuracy and reconciliationDesign and implement ETL processesMake data available through reporting platformsAnalyze data and communicate insights to stakeholders At least 10 years of work experience Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administrationStrong computer science background and knowledge of software development methodologiesExcellent knowledge of SQLHands-on programming experience SSIS, SSRS Good communication skillsDiligent, rigorous, and collaborativePreferred: Experience in Project Management, Business Analysis, Consulting, Operations, Quality Assurance Preferred Understanding of data science, machine learning concepts Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks:<ul><li>Medical Plan Covering Medical, Dental, Vision</li><li>Term and Long-Term Disability Coverage</li><li>Plan with Company match</li><li>Insurance</li><li>Time, Sick Leave, Paid Holidays</li><li>Paternity and Maternity Leave</li></ul> The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office:In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.

Title: Data Engineer (Dataiku Migration Specialist)Duration: 6+ Months ContractLocation: 63043, Maryland Heights, MissouriHybrid Work Environment: 2 Days remote, 3 Days Onsite This position will have a strong focus on migrating data workflows from Alteryx to Dataiku. The ideal candidate will have extensive experience with both platforms, a solid understanding of data engineering principles, and the ability to work collaboratively across departments to ensure a smooth transition.Key Responsibilities:<ul><li>Migration Planning and Execution:</li><li>Lead the migration of existing data workflows from Alteryx to Dataiku.</li><li>Develop a comprehensive migration strategy, including timelines, resource allocation, and risk mitigation plans.</li><li>Analyze existing Alteryx workflows to understand their functionality and determine the best approach for recreating them in Dataiku.</li><li>Data Integration and Management:</li><li>Design, implement, and maintain scalable data pipelines in Dataiku.</li><li>Ensure data is ingested, processed, and stored efficiently and securely.</li><li>Optimize and tune workflows to improve performance and reliability.</li><li>Collaboration and Support:</li><li>Provide training and support to team members on Dataiku to enhance their proficiency.</li><li>Collaborate with IT and other departments to ensure seamless integration of Dataiku into the existing data infrastructure.</li><li>Quality Assurance and Documentation:</li><li>Perform rigorous testing and validation of data workflows to ensure accuracy and consistency.</li><li>Document migration processes, data workflows, and system configurations for future reference and compliance purposes.</li></ul>Qualifications Include: <ul><li>Education:</li><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field</li><li>Experience:</li><li>Minimum 3-5 years of experience in data engineering or a related role.</li><li>Proven experience with Alteryx and Dataiku, including a deep understanding of their respective functionalities.</li><li>Hands-on experience in migrating data workflows from Alteryx to Dataiku.</li><li>Proficiency in SQL, Python, and other relevant programming languages.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and interpersonal skills.</li><li>Ability to work independently and as part of a team.</li><li>Attention to detail and commitment to high-quality standards.</li><li>Certifications in Dataiku and/or Alteryx preferred.</li><li>Knowledge of data visualization tools like Tableau or Power BI preferred.</li></ul>

Job Title – Big Data Engineer with DroolsLocation – Irving, TXJob Type- Full Time Key Responsibilities:<ul><li>Design, develop, and deploy Big Data solutions using technologies such as Hadoop, Spark, Kafka, and NoSQL databases.</li><li>Utilize Drools to implement complex business rules and decision logic into our data processing pipelines.</li><li>Collaborate with data scientists, business analysts, and stakeholders to understand requirements and translate them into technical solutions.</li><li>Architect scalable and reliable data pipelines for ingestion, processing, and analysis of large volumes of structured and unstructured data.</li><li>Optimize performance and efficiency of Big Data applications and workflows.</li><li>Ensure data integrity, security, and compliance with regulatory standards.</li><li>Provide technical leadership and mentorship to junior team members.</li><li>Stay updated with the latest trends and advancements in Big Data technologies and best practices.</li></ul> Qualifications:<ul><li>Bachelor’s or master’s degree in computer science, engineering, or related field.</li><li>Proven experience as a Big Data Engineer with a focus on building scalable data processing solutions.</li><li>Strong proficiency in programming languages such as Java, Scala, or Python.</li><li>Hands-on experience with Big Data frameworks and tools (Hadoop, Spark, Kafka, etc.).</li><li>In-depth knowledge of Drools for business rule management and complex event processing.</li><li>Experience with data modeling, ETL processes, and data warehousing concepts.</li><li>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Effective communication and collaboration abilities.</li></ul> Preferred Qualifications:<ul><li>Certification in Big Data technologies (e.g., Cloudera, Hortonworks, Databricks).</li><li>Experience working in Agile development environments.</li><li>Familiarity with DevOps practices and CI/CD pipelines.</li><li>Knowledge of machine learning concepts and techniques.</li><li>Previous experience in industries such as Banking is plus.</li></ul>

LOCATIONS CAN BE IN ATLANTA, GA - NEW YORK CITY, NY, BOSTON, MA - CENTURY CITY, CA OR CHICAGO, IL !!! This individual will support our software developers, architects, and data owners across various data initiatives and ensures an optimal and consistent data delivery architecture. They must comfortable supporting the data needs of multiple teams, systems Role Description<ul><li>Design, construct, test and maintain data architectures and data pipelines;</li><li>Ensure our data architecture supports the requirements of the business;</li><li>Develop custom data models and algorithms to apply to data sets;</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques. Discover opportunities for data acquisition;</li><li>Develop data set processes for data modeling, mining and production;</li><li>Employ a variety of languages and tools to marry systems together;</li><li>Recommend ways to improve data reliability, efficiency and quality;</li><li>Leverage large volumes of data from internal and external sources to answer business demands;</li><li>Introduce automation through effective metadata management and using innovative and modern tools and techniques. Partially or completely automate the most common and repeatable data preparation and integration tasks;</li><li>Propose appropriate data ingestion, preparation, integration and operationalization techniques in addressing data requirements;</li><li>Lead the development of data governance policies and best practices for consumers and users of data we provision;</li><li>Coordinate with different functional teams to implement models and monitor outcomes; and</li><li>Develop processes and tools to monitor and analyze model performance and data accuracy.</li></ul> Requirements<ul><li>Demonstrates knowledge of the following processes, tools or applications;</li><li>Experienced in designing, building and managing data pipelines for data structures;</li><li>Expertise with advanced analytics tools for Object-oriented/object function scripting. Includes languages such as C#, Python and others</li><li>Expert in SQL, PL/SQL, SSIS and SSAS;</li><li>Knowledge and/or certifications on upcoming NoSQL/Hadoop-oriented databases like MongoDB, Cassandra, and others for non-relational databases;</li><li>Experienced working with large, heterogeneous data sets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies;</li><li>Experienced working with popular data discovery, analytics and BI software tools such as Tableau, Power BI and others;</li><li>Experienced working with data governance/data quality and data security teams;</li><li>Experienced employing Microsoft MDM (Master Data Management) and MDS;</li><li>Ability to troubleshoot complicated issues across multiple systems and driving solutions;</li><li>Effectively convey technical concepts to non-technical individuals;</li><li>Demonstrate a high level of Data Security Awareness; and</li><li>Experience with financial and legal industry data is a plus.</li></ul> Qualifications:<ul><li>A Bachelor's or Master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience;</li><li>At least five years’ experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks;</li><li>At least three years’ experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative;</li><li>Excellent communication and collaboration skills;</li><li>Excellent problem solving and analytical skills;</li><li>Must be highly effective within a collaborative environment; and</li><li>Must be able to independently resolve issues and efficiently self-direct work activities based on the ability to capture, organize, and analyze information.</li></ul>

*Candidates must be local to the Washington D.C. metro area and possess work authorization which does not require sponsorship by the employer for a visa. About Infinitive:Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. . We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 6 times most recently in 2023. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary:We are seeking a skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and be proficient in using Logstash and Databricks for data processing and analytics. This role is critical in helping us manage and optimize our clients data pipelines, ensuring the availability, reliability, and performance of our data infrastructure. Responsibilities:<ul><li>Design, develop, and maintain data pipelines using Logstash and Databricks to ingest, process, and transform data from various sources.</li><li>Collaborate with data scientists and analysts to understand their data requirements and ensure the data engineering infrastructure can support their needs.</li><li>Optimize data pipelines for efficiency, scalability, and performance to meet business objectives.</li><li>Troubleshoot and resolve issues related to data processing and pipeline failures.</li><li>Ensure data security and compliance with relevant data protection regulations.</li><li>Document data engineering processes and procedures for future reference and knowledge sharing.</li><li>Stay up-to-date with the latest trends and best practices in data engineering and cloud-based data processing technologies.</li></ul> Requirements:<ul><li>Bachelor's degree in computer science, information technology, or a related field. A master's degree is a plus.</li><li>Proven experience as a data engineer with a focus on data processing and integration.</li><li>Strong knowledge and hands-on experience with Elasticsearch.</li><li>Proficiency in Databricks for data analytics, ETL, and data engineering.</li><li>Familiarity with big data technologies such as Apache Spark is a plus.</li><li>Solid understanding of data warehousing concepts and relational databases.</li><li>Strong programming skills in languages such as Python, Java, or Scala.</li><li>Knowledge of data modeling and data warehouse design principles.</li><li>Excellent problem-solving and debugging skills.</li><li>Strong teamwork and communication skills to collaborate effectively with cross-functional teams.</li></ul>Preferred Qualifications:<ul><li>AWS Certified Data Analytics - Specialty or relevant certifications.</li><li>Experience working with data streaming technologies like Apache Kafka or Amazon Kinesis.</li><li>Knowledge of DevOps practices for CI/CD pipelines.</li><li>Familiarity with data governance and data quality best practices.</li><li>Experience with version control systems like Git.</li></ul> Infinitive is an Equal Opportunity Employer.

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