The Senior ETL Developer will focus on designing, implementing, and optimizing data processing jobs for large-scale data in the Hadoop ecosystem using Apache Spark and Python. This role requires a deep understanding of data engineering principles and collaboration with data engineers, analysts, and business stakeholders to drive insights and data-driven decisions. The developer will be responsible for creating efficient ETL pipelines and ensuring data accuracy and integrity. The position is based in Tampa, Florida, and offers a full-time opportunity with competitive benefits.

• 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

• 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.
• 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 and Sqoop.
• Troubleshoot and debug Spark job failures, monitor job logs, and use Spark UI to identify issues.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.