Pyspark Developer

6 - 10 years

10 - 20 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Data Engineering & Development

  • Design, develop, and maintain

    ETL/ELT pipelines

    using PySpark and Spark SQL.
  • Implement data transformations, aggregations, cleansing, and validation processes.
  • Build scalable workflows for batch and/or real-time streaming data.

Performance Optimization

  • Optimize PySpark jobs for performance, cost, and scalability.
  • Implement partitioning, bucketing, caching, and resource tuning.
  • Diagnose and resolve issues using Spark UI, logs, and monitoring tools.

Data Integration & Architecture

  • Work with structured and unstructured data from multiple data sources (RDBMS, APIs, logs, files, cloud storage).
  • Develop and manage data lake/lakehouse architectures (Bronze/Silver/Gold layers).
  • Implement schema evolution, data quality checks, and metadata management.

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