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KPMG Global Services

Senior Data Engineer

KPMG Global Services · Pune, Maharashtra, India

Business Consulting and Services · 10,001+ employees

7 h ago Closes today
Senior (5-10 yrs) Full-time India
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About the role

Design, build, and optimize scalable data pipelines using PySpark and Azure Data Factory. Collaborate with business stakeholders, data architects, and analytics teams to deliver high-quality data solutions.

What they look for

PySpark Azure Data Factory Azure Synapse Spark SQL ETL ELT Data Warehousing Data Lakes SQL Azure Cloud ADLS Gen2 Data Partitioning Parquet ORC Avro Performance Tuning

Requirements

Requires 7-10 years of experience in data engineering with strong proficiency in PySpark, Azure Synapse, and Spark SQL. Candidates must have proven experience in building pipelines with Azure Data Factory and a solid understanding of ETL/ELT concepts.

Full description

Job Title: Senior Data Engineer

Experience: 7–10 Years

Location: Pune / Bangalore / Hybrid (as applicable)

Employment Type: Full‑time

Job Summary

We are seeking an experienced Senior Data Engineer with strong hands‑on expertise in PySpark and Azure Data Factory (ADF) to design, build, and optimize scalable data pipelines. The ideal candidate will work closely with business stakeholders, data architects, and analytics teams to deliver high‑quality, reliable, and performant data solutions on cloud‑based platforms.