Data Engineer (Senior) Mumbai / Pune / Bangalore

Hybrid Opportunity | 6-8 Years Experience | Financial Data & Microsoft Fabric

We're looking for a strong Data Engineer to join a globally strategic data modernisation programme at one of the world's leading investment intelligence firms. You'll design, build and maintain state-of-the-art data pipelines on Microsoft Fabric as part of a platform that powers investment decision tools used across the globe.

This is a high ownership, high impact role not just another pipeline job.

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Must-Have Skills:

6-8 years of hands-on data engineering experience
Strong Python programming pipelines, transformation logic and automation
Proficient in SQL window functions, partitioning and time-series query patterns
Hands-on experience with Microsoft Fabric OneLake, Fabric Data Factory, Lakehouse and Warehouse
Working knowledge of Delta Lake incremental merges, Z-ordering and Change Data Feed
Familiarity with Azure cloud technologies ADF, Azure SQL, Key Vault and RBAC
REST API experience consuming external vendor APIs and building service integrations
Git based collaboration branching strategies, PR workflows and pipeline-as-code
AI assisted development tools GitHub Copilot, Cursor or equivalent
Strong sense of ownership across ingestion, QA, correction management and audit trails
Excellent communication skills you'll work with global cross functional teams across engineering, compliance and business

Key Responsibilities:

Build and maintain scalable distributed data pipelines on Microsoft Fabric including OneLake lakehouse layers and Delta Lake merge workflows
Design and implement bitemporal data models to support certified regulatory grade time-series datasets
Build and maintain software testing frameworks unit, non-regression and user acceptance for pipelines and transformation logic
Acquire, normalise, transform and release large volumes of financial market data
Support AI solution integration including AI assisted ingestion, anomaly detection and semantic search over the lakehouse
Collaborate actively with stakeholders across data engineering, compliance and business teams globally
Contribute to shared platform services this is a platform role, not a vertical specific one

Good to Have:

Experience with pandas, PySpark or equivalent data manipulation libraries
Familiarity with Microsoft Purview for data lineage, cataloguing and sensitivity classification
Understanding of bitemporal data modelling for financial and regulatory datasets
Knowledge of financial reference data equities, fixed income, corporate actions or index composition
Exposure to CI/CD pipelines and automated environment provisioning
Experience with LLMs and Agentic AI anomaly detection, semantic search or natural language querying over structured data is a strong plus!

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Interested candidates, please share:

1. Email ID
2. Relevant Experience
3. CCTC / ECTC
4. Notice Period

Please apply only if your experience aligns with the requirements. Candidates with Microsoft Fabric and financial data experience will be prioritised.

Data Engineer Microsoft / Azure / Fabric stack- Hybrid ( Mumbai /pune /Bangalore )

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Job Description

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