Position: Senior Data Engineer

Location: Chennai / Pune / Bangalore / Hyderabad

Working Type: WFO

Shift: UK Shift (2:00 – 11:00 PM)

Notice Period: Immediate Joiner/Serving Notice Period

Job Description:

Key Responsibilities

Required Qualifications:

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

Configure and optimize Fivetran connectors (Oracle, SQL DB, etc.)

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

7+ years of data engineering experience
Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory
Solid experience with Fivetran or 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.

Skills: etl,azure,data factory,azure synapse,data engineer,sql,python,medallion,microsoft fabric,data modelling,fivetran,architecture,microsoft

📌 Senior Data Engineer (Pune)
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📍 Pune