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Senior ETL Developer

United States, Tampa Employment contract 96960.00 - 145440.00 USD / Year · Job Posted June 16, 2026
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Job Description

Senior ETL Developer will be responsible for designing, implementing, and optimizing distributed data processing jobs to handle large-scale data in Hadoop Distributed File System(HDFS) using Apache Spark and Python. This role required deep understanding of data engineering principles, proficiency in Python and hands-on experience with Spark and Hadoop ecosystems. Developer will collaborate with data engineers, analysts, and business stakeholders to process, transform and drive insights and data driven decisions.

Job Responsibility

  • Design and Implement of Spark applications to process and transform large datasets in HDFS
  • Develop ETL Pipelines in Spark using Python for data Ingestion, cleaning, aggregation, and transformations
  • Optimize Spark jobs for efficiency, reducing run time and resource usage
  • Finetune memory management, caching, and partitioning strategies for Optimal performance
  • Load data from different sources into HDFS, ensuring data accuracy and integrity
  • Integrate Spark Applications with Hadoop frameworks like Hive, Sqoop etc.
  • Troubleshoot and debug Spark Job failures, monitor job logs, and Spark UI to Identify Issues

Requirements

  • 5-8 years of relevant experience in Software Development
  • Experience in systems analysis and programming of software applications
  • Experience in managing and implementing successful projects
  • Working knowledge of consulting/project management techniques/methods
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Bachelor’s degree/University degree or equivalent experience

What we offer

  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

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