Job highlights

- 7+ years data engineering experience with Microsoft Fabric or Azure Synapse/Data Factory expertise and strong knowledge of Medallion architecture
- Implement and optimize data ingestion, transformation, and Lakehouse pipelines; manage large-volume data operations and monitoring

Interested candidate can share there CV @ [email protected]

Position: Senior Data Engineer

Location: Chennai / Pune / Bangalore / Hyderabad

Working Type: Full Time

Resource Count: 2

Shift: UK Shift ( 2:00 PM 11:00 PM )

Experience : 7+ years overall

Roles and Responsibilities

Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.

Key Responsibilities

Manage large-volume ingestion and backfill operations





Implement Bronze to Silver transformation pipelines

Develop incremental load and CDC logic

Optimize Lakehouse performance and storage patterns

Implement monitoring (record counts, load duration, failure tracking)

Support Dev/Test/Prod promotion processes

Required Qualifications

6+ years of data engineering experience

Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory

Robust experience with similar ELT tools

Experience handling high-volume datasets (hundreds of millions of records)

Proficiency in SQL, Python, and data modeling concepts

Strong understanding of Medallion architecture

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