Description

" – Data Engineer (Azure Synapse | PySpark)

Role: Data Engineer

Experience: 5–12 years

Location: [Pune / India / Hybrid ]

Engagement Type: Contract

Role Summary

We are seeking a highly skilled Data Engineer with solid hands‐on experience in Azure Synapse Analytics and PySpark to design, develop, and optimize scalable cloud‐based data pipelines. The role involves working on large‐scale analytical platforms, enabling advanced reporting, analytics, and data‐driven decision‐making in enterprise (preferably banking or financial services) environments.

Key Responsibilities

- Data Engineering & Pipeline Development

Design, build, and maintain scalable data pipelines using Azure Synapse Analytics and PySpark.





Develop batch and incremental ingestion pipelines from multiple source systems (RDBMS, flat files, APIs, cloud sources).

Implement robust data transformation frameworks following ELT/ETL best practices.

2.

Azure

Synapse & Spark Development

Develop high‐performance data transformations using PySpark (DataFrames, Spark SQL).

Work with Synapse Dedicated SQL Pools and Serverless SQL Pools for analytical workloads.

Optimize Spark jobs through partitioning, caching, and performance tuning techniques."

📌 Azure Synapse with Pyspark (India)
🏢 Clifyx
📍 India