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Senior Data Engineer at KPMG Global Services

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

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

Industry

Business Consulting and Services

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.

Responsibilities

Design, build, and optimize scalable data pipelines on cloud-based platforms. Collaborate with business stakeholders, data architects, and analytics teams to deliver high-quality data solutions.