Expert - Data & BI Engineer (Microsoft Certification preferred)
NielsenIQ (company site, opens in a new tab)7–9 yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize SQL Server databases and ETL processes to support scalable data solutions.
- Build and maintain ETL/ELT pipelines using Azure Data Factory while ensuring data quality and performance optimization.
- Develop Power BI reports, dashboards, and KPIs collaborating with business stakeholders to deliver actionable business intelligence.
Minimum Requirements
- 7-9 years of experience in Data Engineering, Data Warehousing, and Business Intelligence.
- Strong hands-on experience with SQL Server, Azure Data Factory (ADF), and Power BI.
- Experience with Azure Data Lake Storage Gen2.
- Preferred Microsoft certifications: Power BI Data Analyst Associate (PL-300), Azure Data Engineer Associate (DP-203), or Fabric Analytics Engineer Associate (DP-600).
Ideal Candidate Profile
- Experienced in handling complex ETL pipeline development and SQL query optimization in enterprise environments.
- Skilled in developing dimensional data models and enterprise data warehouses supporting business intelligence needs.
- Familiar with Microsoft Fabric and automation integrations such as Python, Power Automate, and REST API for enhanced analytics and data processing.