Java Bigdata Developer

3 - 8 years

14 - 24 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • Design, develop, and implement

    big data solutions

    using

    Apache Spark

    and

    Hadoop

    .
  • Develop

    high-performance distributed applications

    using

    Java

    .
  • Optimize and manage large-scale

    data processing workflows

    .
  • Work with

    HDFS, Hive, HBase, and other Hadoop ecosystem components

    .
  • Implement

    real-time and batch processing

    solutions using

    Spark Streaming

    .
  • Troubleshoot and optimize

    Spark jobs

    for better performance and efficiency.
  • Collaborate with

    data engineers, analysts, and business teams

    to meet project requirements.
  • Ensure

    data security, reliability, and scalability

    across distributed systems.
  • Write efficient

    SQL queries

    for data extraction and transformation.
  • Participate in

    Agile development processes

    , including sprint planning, code reviews, and stand-ups.

Required Skills & Expertise:

  • Strong programming experience in Java

    (Python/Scala is a plus).
  • Hands-on experience with Apache Spark & Hadoop ecosystem

    .
  • Experience with

    Spark SQL, Spark Streaming, and Kafka

    .
  • Proficiency in

    HDFS, Hive, HBase, and YARN

    .
  • Experience with

    data ingestion frameworks

    and tools.
  • Strong understanding of

    distributed computing and parallel processing

    .
  • Knowledge of

    ETL processes and data pipeline development

    .
  • Experience with

    performance tuning and optimization of Spark jobs

    .
  • Familiarity with

    cloud platforms like AWS, Azure, or GCP

    is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

  • Experience with

    NoSQL databases (Cassandra, MongoDB, etc.)

    .
  • Knowledge of

    containerization (Docker, Kubernetes)

    .
  • Understanding of

    CI/CD pipelines

    for big data applications.

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