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Pyspark Data Engineer

Job Description

Seeking a PySpark Data Engineer to design robust data pipelines, optimise big data workflows, support analytics requirements, collaborate with cross-functional teams, and ensure scalable, reliable data solutions for enterprise-level applications.

Key Responsibilities

  • Build and optimise scalable PySpark data pipelines efficiently.
  • Develop ETL workflows processing large datasets reliably.
  • Collaborate with data scientists to implement solutions.
  • Ensure data quality and governance across systems.
  • Monitor performance and troubleshoot processing issues.
  • Integrate data from diverse sources with precision.
  • Maintain secure and compliant data platform operations.
  • Document technical specifications and implementation details.

Skill & Experience

  • Strong expertise in Python and PySpark development.
  • Excellent SQL skills for large data processing.
  • Knowledge of data warehousing architecture designs.
  • Experience with streaming technologies like Kafka.
  • Familiarity with cloud platforms and big data tools.
  • Ability to optimise Spark jobs for performance.

Note: Salary is disbursed in the local currency of the country of employment.


  • Date Posted
    February 15, 2026
  • Location
    Dubai, UAE
  • Offered Salary:
    95000 - 125000 / year
  • Expiration date
    August 21, 2028
  • Experience
    2 Year
  • Gender
    Both
  • Qualification
    Bachelor Degree

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