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Posted:9 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description


Key Responsibilities:

  • Big Data Architecture:

    Design, develop, and maintain scalable and distributed data architectures capable of processing large volumes of data.
  • Data Storage Solutions:

    Implement and optimize data storage solutions using technologies such as

    Hadoop

    ,

    Spark

    , and

    PySpark

    .
  • PySpark Development:

    Develop and implement efficient ETL processes using

    PySpark

    to extract, transform, and load large datasets.
  • Performance Optimization:

    Optimize

    PySpark

    applications for better performance, scalability, and resource management.

Qualifications:

  • Proven experience as a

    Big Data Engineer

    with a strong focus on

    PySpark

    .
  • Deep understanding of

    Big Data

    processing frameworks and technologies.
  • Strong proficiency in

    PySpark

    for developing and optimizing ETL processes and data transformations.
  • Experience with

    distributed computing

    and parallel processing.
  • Ability to collaborate in a fast-paced, innovative environment.


Skills


PySpark, Big Data, Python.

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