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Data Engineer-Pyspark

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Onsite

Data Engineer-Pyspark

Deloitte US-India Offices

Data Engineer-Pyspark

Skills

SQL QueriesBig DataData EngineeringPySparkHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


Roles and Responsibilities

  • Design, develop, test, deploy, and maintain large-scale data pipelines using PySpark.
  • Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
  • Develop complex ETL processes to extract, transform, and load data from various sources into a centralized warehouse.
  • Ensure scalability, reliability, and performance of the data pipeline by monitoring its components.
  • Troubleshoot issues related to data quality, integrity, and security.

Desired Candidate Profile

  • 6-11 years of experience in Data Engineering with expertise in PySpark.
  • Strong understanding of Database Development, Data Warehousing Concepts & Tools (e.g., SQL), Big Data Technologies (Hadoop ecosystem).
  • Experience working on big data projects involving Hive queries writing.
  • Bachelor's degree (B.Tech / B.E.) in Any Specialization.

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