NielsenIQ: Expert (Azure Data Factory, Fabric and SQL preferred) — Chennai, TN, India
NielsenIQ lists a Expert (Azure Data Factory, Fabric and SQL preferred) opening in Chennai, TN, India. The position is listed as full-time. The job description covers SQL, Azure, Power BI, warehouse operations, stakeholder management, problem resolution.
Recruitment overview
| Organisation | NielsenIQ |
|---|---|
| Post / role | Expert (Azure Data Factory, Fabric and SQL preferred) |
| Employment type | Full-time |
| Notification / job ID | R26_0023149|IN |
| Job location | Chennai, TN, India |
| Work arrangement | On-site |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | 7-9 years of experience across Data Engineering, Data Warehousing, and Business Intelligence |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About NielsenIQ
NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.
The position and its setting
NielsenIQ lists Expert (Azure Data Factory, Fabric and SQL preferred) in Chennai, TN, India, under reference R26_0023149|IN. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Employment type: Full-time
- Employer listing date: 22 October 2026
- Brands: NielsenIQ
- Job Family: Data Visualization
Responsibilities and work described
- Job Summary
- We are seeking an experienced Data & BI Engineer (7-9 years) with 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
- Design, develop, and optimize SQL Server databases, stored procedures, views, functions, and ETL processes
- Development: and maintain ETL/ELT pipelines using Azure Data Factory (ADF)
- Execution: data validation, reconciliation, and quality checks to ensure data accuracy
- Optimize query performance, indexing, partitioning, and data processing workloads
- Building: and support enterprise Data Warehouse and dimensional data models
- Development: Power BI datasets, reports, dashboards, and KPIs using DAX and Power Query
- Monitoring: and troubleshoot ADF pipelines, SQL jobs, and Power BI refreshes
- Collaboration: with business stakeholders to understand reporting and analytics requirements
- Participate in code reviews, deployment activities, and DevOps processes
Essential requirements and candidate background
- 7-9 years of experience across Data Engineering, Data Warehousing, and Business Intelligence
- Hands-on experience with:
- SQL Server
- Azure Data Factory (ADF)
- Power BI
- Azure Data Lake Storage Gen2
Preferred experience and additional strengths
- Microsoft Fabric
- Python for data processing and automation
- Power Automate integration
- REST API integration
- 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)
Location, schedule and contract conditions
- Work arrangement: On-site
- Advertised location: Chennai, TN, India
Benefits mentioned by the employer
- 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/
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Expert (Azure Data Factory, Fabric and SQL preferred) vacancy is not an offer for reference R26_0023149|IN; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to NielsenIQ
Applications follow the official employer page linked below.
Open the official NielsenIQ posting below and match the title and reference R26_0023149|IN.
Compare your qualifications and experience with the essential conditions for the Chennai, TN, India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- SQL
- Azure
- REST APIs
- APIs
- Power BI
- warehouse operations
- stakeholder management
- problem resolution
- data analysis
Important links
| Official notification / job description | Open official page |
|---|---|
| Online application portal | Open official page |
Read the complete official notice before applying. Availability and requirements can change.
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