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Expert (Azure Data Factory, Fabric and SQL preferred)
Chennai, TN, India
Live, first seen by us today- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, and optimize SQL Server databases, stored procedures, views, functions, and ETL processes.
Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
Perform data validation, reconciliation, and quality checks to ensure data accuracy.
From the employer’s posting
Key Responsibilities Design, develop, and optimize SQL Server databases, stored procedures, views, functions, and ETL processes. Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
Design, develop, and optimize SQL Server databases, stored procedures, views, functions, and ETL processes. Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF). Perform data validation, reconciliation, and quality checks to ensure data accuracy.
Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF). Perform data validation, reconciliation, and quality checks to ensure data accuracy. Optimize query performance, indexing, partitioning, and data processing workloads.
What you’ll bring
All qualificationsCore experience
- 7-9 years of experience across Data Engineering, Data Warehousing, and Business Intelligence.
- Python for data processing and automation
Qualification wording
7-9 years of experience across Data Engineering, Data Warehousing, and Business Intelligence.
Python for data processing and automation
About NielsenIQ
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
- Reposted
- once since Oct 22, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
NielsenIQ is hiring
78 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 19% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Power BI
- Power Query
- SQL Server
Where the posting names them
- Microsoft Fabric - Python for data processing and automation - Power Automate integration
Job Summary We are seeking an experienced Data & BI Engineer (7-9 years) with strong expertise in SQL Server, Azure Data Factory (ADF), and Power BI. The role involves designing and developing scalable data solutions, building ETL pipelines, writing complex sql queries, optimizing databases, and delivering business intelligence solutions that drive data-driven decision making. Key Responsibilities
Key Responsibilities - Design, develop, and optimize SQL Server databases, stored procedures, views, functions, and ETL processes. - Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
- Develop Power BI datasets, reports, dashboards, and KPIs using DAX and Power Query. - Monitor and troubleshoot ADF pipelines, SQL jobs, and Power BI refreshes. - Collaborate with business stakeholders to understand reporting and analytics requirements.
- 7-9 years of experience across Data Engineering, Data Warehousing, and Business Intelligence. - Strong hands-on experience with:- SQL Server - Azure Data Factory (ADF)
- Design, develop, and optimize SQL Server databases, stored procedures, views, functions, and ETL processes. - Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF). - Perform data validation, reconciliation, and quality checks to ensure data accuracy.
- Strong hands-on experience with:- SQL Server - Azure Data Factory (ADF) - Power BI
- Power BI - Azure Data Lake Storage Gen2 Preferred Hands-on Skills
- Microsoft Certified: Power BI Data Analyst Associate (PL-300) - Microsoft Certified: Azure Data Engineer Associate (DP-203) - Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Build and support enterprise Data Warehouse and dimensional data models. - Develop Power BI datasets, reports, dashboards, and KPIs using DAX and Power Query. - Monitor and troubleshoot ADF pipelines, SQL jobs, and Power BI refreshes.
- Azure Data Factory (ADF) - Power BI - Azure Data Lake Storage Gen2
Preferred Certifications - Microsoft Certified: Power BI Data Analyst Associate (PL-300) - Microsoft Certified: Azure Data Engineer Associate (DP-203)
Your next step
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Already applied? Track this application
Has NielsenIQ posted this job before?
Yes. We’ve followed one other Expert (Azure Data Factory, Fabric and SQL preferred) job there since October 2026. It came down after 13 days.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Job Description
Job Summary
We are seeking an experienced Data & BI Engineer (7-9 years) with strong expertise in SQL Server, Azure Data Factory (ADF), and Power BI. The role involves designing and developing scalable data solutions, building ETL pipelines, writing complex sql queries, optimizing databases, and delivering business intelligence solutions that drive data-driven decision making.
Key Responsibilities
- Design, develop, and optimize SQL Server databases, stored procedures, views, functions, and ETL processes.
- Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
- Perform data validation, reconciliation, and quality checks to ensure data accuracy.
- Optimize query performance, indexing, partitioning, and data processing workloads.
- Build and support enterprise Data Warehouse and dimensional data models.
- Develop Power BI datasets, reports, dashboards, and KPIs using DAX and Power Query.
- Monitor and troubleshoot ADF pipelines, SQL jobs, and Power BI refreshes.
- Collaborate with business stakeholders to understand reporting and analytics requirements.
- Participate in code reviews, deployment activities, and DevOps processes.
Qualifications
- 7-9 years of experience across Data Engineering, Data Warehousing, and Business Intelligence.
- Strong hands-on experience with:
- SQL Server
- Azure Data Factory (ADF)
- Power BI
- Azure Data Lake Storage Gen2
Preferred Hands-on Skills
- Microsoft Fabric
- Python for data processing and automation
- Power Automate integration
- REST API integration
Preferred Certifications
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Additional Information
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQ
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
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- Location & working pattern
Chennai, TN, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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