Applications Development Senior Programmer Analyst - Assistant Vice President

Applications Development Senior Programmer Analyst - Assistant Vice PresidentDiscover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.Job OverviewThe Applications Development Senior Programmer Analyst 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. Responsibilities: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, metadata management, and adherence to enterprise standards.Ensure compliance with data security and governance policies, including access controls (RBAC) 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.Recommended Qualifications:4–7 years of experience in Data Engineering or related roles.Strong hands-on experience with Python, PySpark, and Spark SQL.Experience with Databricks (Delta Lake, performance tuning).Working knowledge of Ab Initio (GDE, Co> Operating System, Conduct> It).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 (AWS, Azure, or GCP) and related data services (e.g., Glue, ADF, Dataflow, Redshift, Synapse, BigQuery).Understanding of data governance frameworks, including data quality, lineage, cataloging, 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.Education:Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.Master's degree is a plus but not required.This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.