Big Data Engineer (Spark | AWS | Scala/Java)

5 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Big Data Engineer (5+ years’ experience)


Key Responsibilities:

  • Build and maintain scalable data pipelines with

    Spark/PySpark, Hadoop, and AWS (EMR, EC2, ECS)

    .
  • Develop and integrate

    RESTful APIs

    and AWS Gateway services using

    Scala/Java

    .
  • Ensure

    data quality, performance, and reliability

    across platforms.
  • Collaborate with cross-functional teams and support

    CI/CD deployment

    processes.


Must-Haves:

  • 5+ years of experience in Big Data Engineering.
  • Strong skills in

    Spark/PySpark, Hadoop, AWS (EMR, EC2, ECS)

    .
  • Proficiency in

    Scala/Java

    for backend/API development.
  • Solid understanding of

    RESTful APIs

    and Git/CI/CD pipelines.


Nice-to-Haves:

  • Experience in

    data security, real-time processing, and data lake architectures

    .
  • Familiarity with

    Docker/Kubernetes

    .

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