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

Zllius Data Engineer Interview Guide

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


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

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

Overview

What Zllius Looks for in a Data Engineer

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.

Zllius Data Engineer Interview Process

Interview Tips

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

Data Modeling

Let’s say Accenture has a data pipeline that ingests raw sales data from multiple retail clients, processing 10 million records each night to generate daily sales dashboards for client teams. For the past week, the pipeline has been consistently failing at the data transformation stage.

How would you go about systematically diagnosing and resolving the root cause of these failures?

How would you systematically diagnose and resolve repeated failures in a nightly data transformation pipeline?

Pipeline Transformation Failures

Batch & Stream Processing

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

Zllius Data Engineer Interview Questions

Azure Data Engineer - Databricks ExpertREMOTEFull-timeShift Timings: 2 pm - 11 pm IST Our client is a leading AI-driven tech company transforming global enterprises with innovative solutions in data intelligence, automation, and responsible AI. With a mission to help enterprises modernize and scale, they focus on delivering intelligent, future-ready platforms.They are seeking an experienced Azure Data Engineer (Databricks Expert) to design and optimize modern data platforms. This is a pivotal role requiring deep technical expertise, leadership, and innovation to deliver scalable data solutions. Key Responsibilities:<ul><li>Lead Databricks architecture, development & operations.</li><li>Build and optimize ETL/ELT pipelines with Python (PySpark).</li><li>Set up and maintain CI/CD pipelines with Git/DevOps tools.</li><li>Design scalable data lakes, warehouses & lakehouses.</li><li>Optimize Databricks clusters, jobs & workflows (batch & streaming).</li></ul> Required:<ul><li>5+ years of data engineering experience.</li><li>Strong expertise in Databricks & Apache Spark.</li><li>Hands-on experience with Unity Catalog for governance, security, and lineage.</li><li>Proven track record of building and optimizing ETL pipelines (Azure Data Factory, Informatica, etc.).</li><li>Solid understanding of CI/CD practices, Git integration, and automation for Databricks.</li></ul> Apply Now to be part of a future-focused team where your ideas and leadership can truly make a difference.

Sun Life is a leading financial services company with history of 150+ years that helps our clients achieve lifetime financial security and live healthier lives. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including:Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance.Investments. Mutual funds, segregated funds, annuities, and guaranteed investment productsAdvice. Financial planning and retirement planning servicesAsset management. Pooled funds, institutional portfolios, and pension funds Sun Life Global Solutions (SLGS)Established in the Philippines in 1991 and in India in 2006, Sun Life Global Solutions, (formerly Asia Service Centres), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. Role requirements/Key responsibilities : <ul><li>Excellent problem-solving skills with the ability to analyze business problems systematically and deliver effective right-sized solutions in a timely manner.</li><li>Proven analysis and design/development skills on AWS platforms.</li><li>Develop, Test, and Implement the changes following the Software Development Life Cycle methodologies and quality concepts.</li><li>Strong knowledge on AWS – Glue/Python/PySpark.</li><li>Understanding of AWS data/automation services – Step functions, Lambda, SNS, SQS.</li><li>Hands-on experience in ETL projects.</li><li>Good knowledge of data warehousing concepts.</li><li>Good analytical and problem-solving skills.</li><li>Experience in GIT code versioning tools. </li><li>Strong knowledge of relational database (Oracle/PostgreSQL).</li><li>Good understanding of Software Development Life Cycle.</li><li>Good Reasoning and analytical skills.</li></ul> Key Qualifications and experience: <ul><li>B.Tech/B.E/MCA/M.Tech degree in IT/Computer Science or related technology degree.</li><li>Minimum 5 to 8 years of overall IT experience</li><li>4+ years of experience on AWS Glue/Python/PySpark</li><li>Strong knowledge of AWS Glue/PySpark, relational databases (Oracle/PostgreSQL, SQL Server).</li><li>Good understanding of AWS data/automation services – Step functions, Lambda, SNS, SQS.</li></ul> Interested candidates can please send their Updated Resume on sanjaysingh@sunlife.com with your CTC, Expected CTC and Notice Period details.

Job Title: Junior Data Engineer (Azure)   We are seeking an entry level Data Engineer to join our team. The ideal candidate will have experience in designing, building, and maintaining data solutions on the Azure cloud platform. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data pipelines and architectures.   Responsibilities: <ul><li>Design, develop, and deploy data solutions on the Azure cloud platform, leveraging services such as Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics. </li><li>Collaborate with analysts, and other stakeholders to understand business requirements and translate them into technical solutions. </li><li>Build and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. </li><li>Optimize data storage, retrieval, and processing techniques to ensure high performance and cost efficiency. </li><li>Monitor and troubleshoot data pipelines to identify and resolve performance issues and bottlenecks. </li><li>Document data solutions, including architecture diagrams, technical specifications, and operational procedures. </li><li>Responsible for collaboration with cross-functional team to understand the business requirements and translate it to solutions ensuring that design is in line with the business requirements. </li><li>Be involved in analysis and design phases of a project, participate in application design sessions, and make solution recommendations. </li><li>Work cooperatively in a team environment. Remain flexible on changing workloads. </li></ul> Qualifications: <ul><li>BE/BTech/MSc/MCA degree in computer science or related field </li><li>Minimum 0-3 years of experience in data engineering, with a focus on designing and building data solutions on the Azure cloud platform. </li><li>Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake. </li><li>Experience with programming languages such as C#, Python for data processing and automation. </li><li>Experience using DBT (Data Build Tool) for building and managing data pipelines and transformations in a data warehouse environment. </li><li>Familiarity with data warehousing concepts, dimensional modeling, data modeling, and data integration patterns ETL/ELT processes. </li><li>Proficiency in SQL and experience working with relational databases such as SQL Server, or MySQL and non-relation databases such as Cosmos DB. </li><li>Hands-on experience with SSIS components such as Control Flow tasks, Data Flow transformations, Connection Managers, and Event Handlers. </li><li>Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. </li><li>Demonstrated analytical, problem-solving, organizational, and interpersonal communication skills. </li><li>Microsoft Azure Data Engineer, MSBI, Power BI Analyst certification is preferred </li></ul>

Dear Candidate Greetings from TATA Consultancy ServicesJob Openings at TCSSkill Azure Data Engineer (ADF / Databrick) & ETL Developer Exp range 8yrs -12yrslocation : Chennai / BangalorePls find the Job Description below.<ul><li>Azure Data Engineers:</li><li>Experience working with Azure cloud services, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics or Azure Data Lake</li><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.</li><li>Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.</li><li>Airflow orchestration and Azure Devops orchestration</li></ul>If you are Interested in the above opportunity kindly share your updated resume to sivabhavani.t@tcs.comimmediately with the details below (Mandatory)Name:Skill set:Contact No.Email id:Total exp:Relevant Exp:Fulltime highest qualification (Year of completion with percentage scored):Current organization details (Payroll company):Current CTC:Expected CTC:Notice period:Current location:Any gaps between your education or career (If yes pls specify the duration):Are you okay with the Chennai / Bangalore location? (yes /No )

LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law. We are Hiring for Azure Purview Data Engineer!!Experience: 8 to 16 yearsLocation: Mumbai/Pune/Chennai/Bangalore/Hyderabad/Kolkata/Noida Job Description: Build and deploy Purview-based solutions for data cataloguing, lineage, classification, glossary. Purview Account setup, Data map Collection creation Connect Purview with Data Sources like Microsoft Fabric, Azure Data Factory, Synapse, SQL DB, and external platforms like Snowflake. Automate metadata discovery and lineage tracking using Apache Atlas APIs, Apply and manage custom classifications, glossary termsConfigure scan schedules, monitor DQ scores, and troubleshoot performance issues. Maintain technical documentation and provide training to data stewards and business users. Please share your updated resume – aditya.utekar2@ltimindtree.com

```html About the Company MatchPoint Solutions is a global technology consulting company headquartered in Pleasanton, CA. We create products and offer services for SMB companies as well as many fortune 500 companies. We have been in business for over 14 years and provide solutions to our clients that range from a single person to perform a specific task to turn-key projects or managed services that typically range from 5-50 people. We do these projects in any combination of onsite, offsite, or offshore. Need more details? Please logon to <a>www.matchps.com</a>For additional job listings, please visit our careers page at <a>http://www.matchps.com//</a>Have a friend, acquaintance, or coworker who is looking for a new job opportunity? We do offer a referral fee for anyone you refer to us, who is subsequently hired through MatchPoint Solutions. Responsibilities <ul><li>Develop and enhance data-processing, orchestration, monitoring, and more by leveraging popular open-source software, AWS, and GitLab automation.</li><li>Collaborate with product and technology teams to design and validate the capabilities of the data platform.</li><li>Identify, design, and implement process improvements: automating manual processes, optimizing for usability, re-designing for greater scalability.</li><li>Provide technical support and usage guidance to the users of our platform’s services.</li><li>Drive the creation and refinement of metrics, monitoring, and alerting mechanisms to give us the visibility we need into our production services.</li></ul> Qualifications <ul><li>Experience building and optimizing data pipelines in a distributed environment.</li><li>Experience supporting and working with cross-functional teams.</li><li>Proficiency working in Linux environment.</li><li>4+ years of advanced working knowledge of SQL, Python, and PySpark.</li><li>PySpark queries --- MUST.</li><li>Knowledge on Palantir.</li><li>Experience using tools such as: Git/Bitbucket, Jenkins/CodeBuild, Code Pipeline.</li><li>Experience with platform monitoring and alerts tools.</li></ul> Required Skills [List required skills here.] Preferred Skills [List preferred skills here.] Pay range and compensation package [Pay range or salary or compensation] Equal Opportunity Statement [Include a statement on commitment to diversity and inclusivity.] ```

About Client :-Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations.The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world.They provide a variety of services, including consulting, technology, professional, and outsourcing services.Job Details:-Skil : Azure Data Engineerlocation : PuneMode Of Work : HybridNotice Period : Immediate JoinersExperience : 6-10yrsType Of Hire : Contract to Hire Job Description :-Key Responsibilities:Mandatory skills:AWS/Azure/SAP - MasterELT - MasterData Modeling - MasterData Integration & Ingestion - SkillData Manipulation and Processing - SkillGITHUB, Action, Azure DevOps - SkillData factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. · Job Title: Azure Data engineer · Location: Bangalore(Hybrid) · Experience: 7to 16 yrs · Job Type : Contract to hire. · Notice Period:- Immediate joiners. Mandatory Skills: Having strong experience and knowledge in Azure data engineering and should have DATA BRICKS Certification.

Skywalk Global is on the lookout for Azure & Data ETL Developer to strengthen our Data Engineering team. Location: TrivandrumExperience: 3–6 YearsAvailability: Immediate to 30 days preferred What You’ll Do: ✅ Develop & maintain Azure Functions (.NET) for data processing ✅ Build ELT pipelines with ADF / Azure Data Services ✅ Work on Snowflake, Azure SQL & Data Lake for data integration ✅ Implement transformations using dbt or equivalent frameworks ✅ Collaborate with BI teams to support Power BI & reporting What We Expect: ✔️ Strong skills in Azure Functions, ADF & SQL/T-SQL ✔️ Hands-on with Snowflake (warehouses, streams, tasks) ✔️ Experience with dbt or other transformation tools ✔️ Knowledge of Azure Data Lake Gen2, Azure SQL, Synapse ✔️ Solid understanding of Data Warehousing concepts

<h3>Job Description</h3><div>Job Description<div>Senior Data EngineerLocation: Ashburn, VA (Onsite 2–3 days/week)Clearance Requirement: U.S. Citizenship required; must currently hold or have previously held a Public Trust clearance Overview:We’re hiring a Senior Data Engineer to join a long-term federal program supporting high-impact, mission-driven data initiatives. This is a hands-on, engineering-heavy role that requires deep technical expertise and a strong commitment to on-site work in Ashburn, VA. The project is now in year 2 of a 5-year engagement with long-term conversion expected. What You’ll Do:<ul><li>Build and maintain high-volume data pipelines and ETL workflows</li><li>Write and optimize complex SQL queries for large-scale data sets</li><li>Design robust data models using star schemas, fact and dimension tables</li><li>Work with Apache Spark and the Hadoop ecosystem to process large data sets</li><li>Develop real-time streaming pipelines using Kafka</li><li>Use AWS tools such as S3, EMR, Redshift, and DynamoDB</li><li>Automate tasks with bash scripting</li><li>Use Python for ad hoc data engineering support</li><li>Collaborate with cross-functional teams to deliver scalable, secure solutions</li><li>(Bonus) Leverage Databricks and Delta Tables for advanced analytics</li></ul> Required Skills:<ul><li>7+ years of professional experience in data engineering</li><li>Strong Java development experience</li><li>Advanced SQL expertise with performance tuning skills</li><li>Bash scripting proficiency</li><li>Extensive AWS experience (S3, EMR, Redshift, DynamoDB)</li><li>Hands-on with Apache Spark and Kafka</li><li>Strong understanding of data warehousing (star schemas, fact/dimension modeling)</li><li>Proven success building and supporting production-grade pipelines</li><li>Experience with Python</li><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or related field</li><li>Must be a U.S. Citizen and hold or have held Public Trust clearance</li><li>Must be able to work onsite 2–3 days/week in Ashburn, VA (no exceptions)</li></ul> Nice to Have:<ul><li>Experience with Databricks and Delta Tables</li><li>Background working on federal or public-sector programs</li></ul></div>Company Description<div>offers a competitive salary and benefits package.</div></div><h3>Company Description</h3><div>offers a competitive salary and benefits package.</div>

Question	Topic	Difficulty	Ask Chance
Address Schema	Data Modeling	Medium	Very High
Pipeline Transformation Failures	Batch & Stream Processing	Medium	High
Swipe Payment API	Data Modeling	Easy	High