Expert (Azure Data Factory, Fabric and SQL preferred)

NielsenIQ; Chennai; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

NIELSENIQ is seeking an experienced Data & BI Engineer (7-9 years) to design and develop scalable data solutions, ETL pipelines, and BI platforms. You will work across SQL Server, Azure Data Factory, and Power BI to deliver analytics that drive data-driven decisions.

The role emphasizes building robust data models, optimizing data workflows, and collaborating with stakeholders to deliver insightful dashboards and KPIs. Strong technical hands-on experience is required.

Qualifications

• 7-9 years of experience across Data Engineering, Data Warehousing, and BI.
• Strong hands-on experience with SQL Server, Azure Data Factory, Power BI, and Azure Data Lake Storage Gen2.
• Experience with Microsoft Fabric, Python, Power Automate, and REST API integration is a plus.

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.

Skills

ETL/ELT pipelines

Data Warehousing

Tools

SQL Server

Azure Data Factory

Power BI

Azure Data Lake Storage Gen2

Microsoft Fabric

Python

Power Automate

REST API integration

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.

• 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)

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-delivered with advanced analytics. 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