Software Engineer

10 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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About the Role

Python Data Engineer


Key Responsibilities

  • Design, develop, and maintain

    data pipelines

    and applications using

    Python

    and

    PySpark

    .
  • Build

    end-to-end data solutions

    ensuring performance, modularity, and reusability.
  • Write and optimize

    complex SQL queries

    for large-scale data processing and validation.
  • Implement

    data workflow orchestration

    using

    Databricks

    and

    Azure Data Factory (ADF)

    .
  • Refactor and modernize

    legacy codebases

    to improve reliability and maintainability.
  • Collaborate with data engineers, analysts, and business teams to

    translate requirements into technical solutions

    .
  • Drive

    best practices

    in code review, performance tuning, and deployment automation.
  • Stay up to date with

    emerging technologies

    in data engineering and contribute to process improvements.


Required Skills

  • 8+ years of experience in

    data or software engineering

    .
  • Strong proficiency in

    Python

    ,

    PySpark

    , and

    SQL

    .
  • Expertise in

    Databricks

    and

    Azure Data Factory (ADF)

    .
  • In-depth understanding of

    data structures, design patterns

    , and

    scalable architectures

    .
  • Experience with

    cloud platforms

    (Azure, AWS, or GCP).
  • Strong debugging, performance optimization, and automation skills.
  • Excellent problem-solving and analytical thinking abilities.


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