Spark Developer (4-12 years)

3 - 8 years

4 - 9 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Apache Spark Developer

distributed computing

Key Responsibilities:

  • Design and implement

    data processing pipelines

    using Apache Spark (Core, SQL, Streaming).
  • Develop and optimize

    ETL workflows

    for large-scale data ingestion and transformation.
  • Work with

    Spark on Hadoop

    ,

    Databricks

    , or

    cloud-based Spark environments

    .
  • Collaborate with

    data engineers

    ,

    data scientists

    , and

    business teams

    to deliver analytics solutions.
  • Ensure

    data quality

    ,

    security

    , and compliance standards.
  • Perform

    performance tuning

    and

    job optimization

    for Spark applications.
  • Integrate Spark with

    data lakes

    ,

    data warehouses

    , and

    streaming platforms

    (Kafka).

Required Skills:

  • Strong proficiency in

    Apache Spark

    (Core, SQL, Streaming).
  • Hands-on experience with

    PySpark

    or

    Scala

    for Spark development.
  • Knowledge of

    HDFS

    ,

    Hive

    , and

    data lake architectures

    .
  • Familiarity with

    cloud platforms

    (AWS EMR, Azure HDInsight, GCP Dataproc).
  • Proficiency in

    SQL

    and

    data modeling

    .

Preferred Skills:

  • Experience with

    Databricks

    and

    Delta Lake

    .
  • Knowledge of

    Kafka

    ,

    Airflow

    , or other orchestration tools.
  • Exposure to

    machine learning pipelines

    in Spark MLlib.

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