The Applications Development Senior Programmer Analyst is an intermediate level position focused on establishing and implementing new or revised application systems in collaboration with the Technology team. This role emphasizes contributions to applications systems analysis and programming activities. The ideal candidate will work with big data technologies and support data governance initiatives. The position requires strong technical skills and collaboration with various stakeholders to deliver data solutions aligned with business needs.

• 4–7 years of experience in Data Engineering or related roles.
• Strong hands-on experience with Python, PySpark, and Spark SQL.
• Experience with Databricks for performance tuning and Delta Lake.
• Working knowledge of Ab Initio and its components.
• Experience with Snowflake for data warehousing and analytics.
• Familiarity with Starburst/Trino and data federation concepts.
• Exposure to Apache Iceberg or similar open table formats.
• Hands-on experience with at least one cloud platform such as AWS, Azure, or GCP.
• Understanding of data governance frameworks, including data quality and security principles.
• Experience supporting data pipelines for analytics and machine learning workloads.
• Familiarity with Agile/Scrum methodologies.
• Strong problem-solving, collaboration, and communication skills.
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

• Develop and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks.
• Support implementation and management of data platforms across AWS, Azure, or GCP.
• Work with big data technologies such as Databricks, Snowflake, and Apache Iceberg to process large datasets.
• Optimize Spark workloads through performance tuning, partitioning strategies, and cost-efficient processing.
• Contribute to Lakehouse architecture implementation, ensuring data quality, consistency, and reliability.
• Assist in implementing data federation solutions using Starburst/Trino across multiple data sources.
• Support data governance initiatives, including data quality checks, lineage tracking, and metadata management.
• Ensure compliance with data security and governance policies, including access controls and auditability.
• Perform troubleshooting and performance optimization for data pipelines and queries.
• Support data modeling for analytics, reporting, and downstream consumption.
• Collaborate with data scientists and ML teams to enable pipelines for AI/ML and RAG-based use cases.
• Participate in Agile processes, including sprint planning, stand-ups, and retrospectives.
• Work with stakeholders to gather requirements and deliver data solutions aligned with business needs.

• 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.