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ETL Developer

https://www.citi.com/ Logo

Citi

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Location:
United States, Tampa

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

96960.00 - 145440.00 USD / Year

Job Description:

The ETL Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. 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.

Job Responsibility:

  • Design and implement 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
  • Fine-tune 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
  • Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development
  • Monitor and control all phases of development process and analysis, design, construction, testing, and implementation

Requirements:

  • 5-8 years of relevant experience
  • 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
  • Deep understanding of data engineering principles
  • Proficiency in Python
  • Hands-on experience with Spark and Hadoop ecosystems
What we offer:
  • Medical, dental & vision coverage
  • 401(k)
  • Life, accident, and disability insurance
  • Wellness programs
  • Paid time off packages including vacation, sick leave, and paid holidays
  • Discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
October 21, 2025

Expiration:
October 27, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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