Description

You will lead the development of data products while guiding a team of 3-4 engineers.

This role is on-site.

Responsibilities

• Translate business goals into actionable data solutions by collaborating with Product Managers.
• Design scalable ETL pipelines using Azure technologies, PySpark, Python, and SQL.
• Own data product quality, ensuring datasets are accurate, reusable, and accessible.
• Perform exploratory data analysis and build visualizations using Databricks.
• Influence architectural decisions and shape the long-term data platform strategy.

Required Skills

• 7+ years of professional experience in data engineering.
• Expert proficiency in Python and SQL.
• Hands-on experience building ETL processes.
• Demonstrated experience with Azure cloud services.
• Proficiency with PySpark and Databricks.
• Experience using Git/GitHub for version control.
• Ability to maintain and develop Power BI dashboards.

Key Skills

Education

Any Graduate