Location: [Remote / Hybrid — Kolkata, Hyderabad, Bangalore]
Type: Full-time
Level: Senior
About the role
We're looking for a Senior Data Engineer to design, build, and operate the data platform that powers our analytics and reporting. You'll own data pipelines and models end to end — from source ingestion through a Lakehouse medallion architecture to the semantic layer that business users rely on. This is a long-term build-and-run role: you'll ship new data products, keep existing ones healthy, and continuously raise the quality and performance bar of the platform.
We run on Microsoft Fabric (Lakehouse, Delta, DirectLake Power BI), so Fabric experience is a strong plus — but we care more about deep, transferable data engineering fundamentals than any single vendor stack.
What you'll do
Design and build batch and incremental data pipelines in PySpark across Bronze/Silver/Gold layers.

Model data for analytics — dimensional / star schemas, slowly changing dimensions, conformed dimensions, and well-partitioned Delta tables.

Own the semantic layer:



build and maintain Power BI models and DAX measures (DirectLake), and partner with analysts on what the business needs.

Build data quality and validation into everything — row/column parity, schema checks, freshness, null/range/dedup rules — so issues are caught before stakeholders see them.

Tune performance and cost — partitioning, file compaction, broadcast joins, and eliminating common Spark anti-patterns.

Operate what you build: monitoring, logging, alerting, incident response, and clean CI/CD via Azure DevOps.

Collaborate in a shared codebase with solid Git discipline — branches, PRs, code review — and mentor more junior engineers.

Translate ambiguous business asks into reliable, documented, maintainable data products.
What we're looking for
Required

3+ years in data engineering, with significant Spark / PySpark at production scale.

Strong SQL and dimensional data modeling (Kimball-style star schemas, SCD patter

📌 Senior Data Engineer (Kolkata)
🏢 Finarb
📍 Kolkata