Data Engineer – PySpark

6 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title: Data Engineer – PySpark

Experience:

Location:


  • Design and implement

    data architecture, data strategy, and data roadmaps

    for large-scale systems
  • Build and manage

    end-to-end data management and analytics solutions

  • Migrate

    traditional data warehousing

    to

    Big Data platforms

  • Work on

    data modeling

    (Star/Snowflake schema, SCDs, dimensional hierarchies)
  • Ensure

    data quality, data governance, security, metadata management, and archival

  • Design and execute

    cloud-native data solutions

  • Define and implement

    workload migration strategies

  • Develop and maintain

    CI/CD pipelines

    for data platforms
  • Work with

    Big Data frameworks

    like Spark, Hadoop, Hive, Presto, Tez
  • Hands-on development using

    Python, PySpark, Linux, Git

  • Collaborate with cross-functional teams in a

    matrix environment

  • Handle multiple tasks independently with strong

    planning, estimation, and execution

  • Demonstrate strong

    problem-solving, communication, and stakeholder management

    skills


Mandatory Skills

  • PySpark
  • Python
  • Big Data (Spark, Hadoop, Hive)
  • Data Warehousing & Dimensional Modeling
  • Cloud Data Platforms
  • CI/CD for Data Engineering


Good to Have

  • Data Governance & Security
  • Metadata Management
  • Cloud migration experience

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