Role - Data Engineer

Location - Bengaluru (IN)

Assignment description

We are looking for someone to support the implementation of the recent Finance Data Foundation platform by building and migrating semantic models, data pipelines and reporting capabilities that replace the current Azure Analysis Services solution.

Key Responsibilities:
Build and maintain data pipelines and data models.
Implement semantic models using Cube.Js/Cube Cloud.
Support migration from Azure Analysis Services.
Develop solutions using SQL, Python and Databricks.
Optimize performance and scalability of analytics workloads.
Collaborate with Finance stakeholders on KPI definitions and reporting requirements.
Support data quality, governance and metadata initiatives.




Contribute to architecture and design discussions.

Required Skills:
Solid SQL
Python
Databricks
Data Modelling
Data Warehousing / Lakehouse
Cube.Js or similar semantic layer technologies
Azure Analysis Services, SSAS or equivalent OLAP technologies
Report and semantic model migration experience

Nice to Have:
Finance or EPM domain experience
KPI governance
Data catalog and metadata management
Power BI

Required skills:
Databricks
SQL
Python
Azure Analysis Services
Data Warehousing

Languages - English (Proficient)

📌 Data Engineer Yelahanka
🏢 CO-WORKER TECHNOLOGY
📍 Yelahanka