Job Description
Location : [Remote / Hybrid — Kolkata, Hyderabad, Bangalore]
n Type : Full-time
n Level : Senior
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n About the role
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nWe'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.
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nWe run on Microsoft Fabric (Lakehouse, Delta, DirectLake Power BI), so Fabric experience is a solid plus — but we care more about deep, transferable data engineering fundamentals than any single vendor stack.
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n What you'll do
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- Design and build batch and incremental data pipelines in PySpark across Bronze/Silver/Gold layers.n

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- Model data for analytics — dimensional / star schemas, slowly changing dimensions, conformed dimensions,



and well-partitioned Delta tables.n

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- Own the semantic layer: build and maintain Power BI models and DAX measures (DirectLake), and partner with analysts on what the business needs.n

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- 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.n

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

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

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

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- Translate ambiguous business asks into reliable, documented, maintainable data products.n

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n What we're looking for


📌 Senior Data Engineer (Kolkata)
🏢 Finarb
📍 Kolkata