5 - 10 years

20 - 27 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Description

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About the Role

Scala + Spark Developer

highly scalable, distributed data processing applications

Key Responsibilities

  • Design, develop, and optimize

    Big Data applications

    using

    Scala

    and

    Apache Spark

    .
  • Implement and manage data processing workflows using

    Hadoop ecosystem tools

    YARN, HDFS, Hive, Oozie

    .
  • Build and maintain

    RESTful APIs and services

    in

    Scala, Java, or Python

    .
  • Work with

    large-scale data sets

    , ensuring performance and reliability.
  • Integrate and process data from

    NoSQL and SQL databases

    efficiently.
  • Contribute to the architecture and design of

    scalable and fault-tolerant data pipelines

    .
  • Work closely with data scientists on

    information retrieval and machine learning workflows

    .
  • Ensure high standards of

    code quality, testing, and CI/CD integration

    .

Key Qualifications

  • 5+ years

    of experience in

    software product development

    , with focus on Big Data systems.
  • Expertise in

    Scala

    (functional programming concepts).
  • Hands-on experience with

    Apache Spark

    for large-scale data processing.
  • Proficient in

    Hadoop technologies

    YARN, HDFS, Hive, Oozie

    .
  • Strong understanding of

    RESTful API development

    in

    Scala, Java, or Python

    .
  • Experience working with

    NoSQL

    (e.g., Cassandra, MongoDB) and

    SQL

    databases.
  • Exposure to

    information retrieval and machine learning

    techniques.
  • Solid understanding of

    distributed systems, data modeling, and performance optimization

    .

Why Join Us?

  • Work with cutting-edge

    Big Data and ML technologies

    .
  • Be part of a high-performance team solving

    complex data engineering challenges

    .
  • Opportunity to grow in a

    fast-paced, innovative environment

    .

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