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PySpark Developer

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Onsite

PySpark Developer

Infosys

PySpark Developer

Skills

Big DataData AnalysisPySparkApache Airflow

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


Service Line

Data Analytics Unit

Responsibilities

  • Develop and maintain data pipelines using PySpark
  • Process and analyze large-scale datasets in distributed environments
  • Design and implement ETL/ELT workflows
  • Optimize Spark jobs for performance and scalability
  • Work with data stored in HDFS, Hive, or cloud storage (S3, ADLS)
  • Collaborate with data engineers, analysts, and business teams
  • Ensure data quality, integrity, and governance
  • Debug and troubleshoot data processing issues
  • Automate workflows using scheduling tools (Airflow, Oozie, etc.)
  • Write clean, scalable, and efficient code

Technical and Professional Requirements

  • Technology - Big Data - Data Processing - PySpark

Preferred Skills Educational Requirements

  • Bachelor of Engineering
  • BTech
  • BSc
  • BCA
  • MTech
  • MSc
  • MCA

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