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Job Type   /   Job Level
Full-time   /   Junior Executive
Job Location
Jakarta, Jakarta, Indonesia
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  • Design, develop, and maintain data pipelines (ETL/ELT)
  • Perform data transformation and processing using Python and Spark
  • Work with large-scale datasets in distributed environments
  • Collaborate with cross-functional teams to support data-driven initiatives
  • Optimize data workflows for performance and scalability
  • Ensure data quality, reliability, and integrity

Minimum Qualifications

  • Strong proficiency in Python programming
  • Hands-on experience with Apache Spark (PySpark / Spark SQL)
  • Solid understanding of SQL and data transformation logic
  • Experience working with cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS)
  • Basic understanding of data pipeline concepts (ETL / ELT)
  • Experience using Git or other version control tools
  • Familiarity with data lakehouse architecture
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