NielsenIQ
Data Engineer
- Eligibility
- Bachelor's degree
- Batch
- Not stated
- Experience
- 2–3 years
- Salary
- Not stated
How well do you fit this role?
Your resume against this posting — what you have, what’s missing, and a short plan to close the gap.
PDF or text, up to 4 MB. It stays in this browser — nothing is saved to your account.
About this role
About the role: - Design and build end-to-end ETL and ELT pipelines using Azure Data Factory and Microsoft Fabric - Create complex queries and data transformation logic in SQL Server, PySpark and CosmosDB - Develop data reporting solutions in Microsoft Fabric and support teams with Power BI dashboards - Work with stakeholders to understand their data needs and deliver extraction and reporting solutions What you'll need: - Bachelor's degree in Computer Science, Engineering or equivalent skills and experience - 2-3 years in data engineering or business intelligence roles - Strong SQL skills, specifically T-SQL in SQL Server - Hands-on experience with Azure Data Factory or Fabric - Working knowledge of Power BI for data visualization - Understanding of relational database design and data models - Experience designing and maintaining custom or structured data integration - Preferred: Microsoft certifications DA-100, DP-600 or DP-700 What they value: - Strong problem-solving ability and attention to detail - Sound analytical thinking and data-driven approach to decisions - Collaborative mindset and positive energy in team settings - Drive to continuously improve your own skills and processes - Awareness of emerging tools and technologies in the industry