Big Data Developer

7 years

0 Lacs

Posted:12 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Big Data Engineer

Key Responsibilities

  • Design, develop, and maintain large-scale

    data pipelines

    and

    ETL workflows

  • Work with

    Hadoop, Spark, Kafka, Hive,

    and other big data technologies
  • Optimize data processing jobs for

    performance, scalability, and reliability

  • Build and manage

    real-time and batch data processing systems

  • Collaborate with data scientists, analysts, and engineering teams to deliver high-quality data solutions
  • Ensure

    data quality, security, and governance

    across all pipelines
  • Deploy and manage data solutions on

    cloud platforms

    (AWS/Azure/GCP)
  • Monitor data infrastructure performance and troubleshoot issues

Required Skills & Experience

  • 3–7 years of experience as a

    Big Data Engineer

    or related role
  • Strong programming skills in

    Python/Scala/Java

  • Hands-on experience with

    Apache Spark, Kafka, Hadoop, Hive, HBase,

    etc.
  • Experience with

    cloud data services

    :
  • AWS (Glue, EMR, Redshift)
  • Azure (Databricks, Synapse)
  • GCP (Dataflow, BigQuery)
  • Solid understanding of

    ETL, data warehousing, distributed systems

  • Experience with

    SQL and NoSQL

    databases
  • Familiarity with CI/CD and containerization (Docker, Kubernetes)

Nice to Have

  • Experience with

    Databricks

  • Knowledge of

    Airflow

    or other workflow schedulers
  • Exposure to

    machine learning data pipelines

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