The Application Development Technology Lead Analyst at Citibank will focus on designing and implementing enterprise-scale data engineering solutions for financial data processing and AI/ML model operationalization. This role involves working within a global financial services environment and requires collaboration with cross-functional teams to ensure compliance and data integrity. The analyst will also be responsible for developing automated data pipelines and maintaining data architectures. A hybrid work schedule may be available for eligible candidates.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• Six years of experience in applications programming and data engineering.
• Experience with ETL workflows using the Ab Initio ETL Suite.
• Proficiency in distributed data processing solutions using Apache Spark / PySpark and Hadoop ecosystem tools.
• Experience in developing applications and data pipelines using Python and Java.
• Ability to write complex SQL and PL/SQL queries for relational databases such as Oracle.
• Experience in developing machine learning models using frameworks like TensorFlow and PyTorch.
• Knowledge of building real-time data pipelines using Apache Kafka.

• Design, architect, and implement enterprise-scale data engineering solutions.
• Test, maintain, and monitor computer programs and systems.
• Analyze information processing needs and plan computer systems.
• Develop high-performance, automated data and machine learning pipelines.
• Build and maintain data lakes, data warehouses, and feature stores.
• Coordinate and link computer systems within the organization.
• Apply advanced programming and AI techniques for data enrichment.
• Work with cross-functional teams to translate business requirements into data solutions.

• 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.