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Role Overview The Power BI Data Engineer acts as the bridge between raw/transformed data stores and enterprise reporting, designing data models and high-performance BI semantic layers sourced from serving engines.

Key Responsibilities

BI & Semantic Layer Development: Design, build, and publish enterprise dashboards within the PowerBI Workspace.

SQL & Data Engineering:

Write complex, high-performance SQL queries, materialized views, and stored procedures in Hologres and Max compute.

Perform data engineering for BI: design star/snowflake schemas, optimize aggregation layers, build data marts, and optimize query latency between Hologres and Power BI.

Data Refresh & Governance: Manage scheduled incremental refreshes, DirectQuery connections, and field-level security models.

Qualifications experience in data modeling, SQL engineering, and Power BI development.

Deep knowledge of relational SQL, DAX, and analytical database systems (Hologres, Redshift, or Snowflake).

Hands-on experience optimizing DirectQuery performance against cloud data platforms.

Work Experience

5-7Years

📌 Power BI Engineer (Pune)
🏢 Virtusa
📍 Pune