Citi is looking to establish and implement new or revised application systems and programs, specifically leading applications systems analysis and programming activities, and migrating large-scale CRM systems from Oracle/Netezza to Snowflake/S3
Requirements
- Deep understanding of Oracle, Netezza, Snowflake, and Amazon S3
- Expertise in Python, PySpark, and distributed data processing
- Hands-on with ETL/ELT frameworks, Airflow, or similar orchestration tools
- Knowledge of DevOps principles and tools (GitHub, Jenkins, Harness, Docker, etc.)
- Experience with CI/CD, unit testing, and monitoring/alerting for data pipelines
- Strong grasp of data security, privacy, and compliance in financial environments
- Ability to break down complex tech concepts for both tech teams and non-technical stakeholders
Responsibilities
- Architect and design end-to-end data migration strategy from Oracle/Netezza to Snowflake/S3
- Lead the data engineering team delivering CRM data pipelines, ETL frameworks, and analytics layers
- Define data modeling standards, data lineage, and governance processes specific to CRM datasets
- Implement Python/Spark-based pipelines that are scalable, fault-tolerant, and optimized for performance
- Oversee DevOps and CI/CD integration for data pipelines, working with infrastructure and security teams
- Ensure regulatory compliance, data masking, encryption, and auditability of all CRM data movement
- Collaborate with business stakeholders to ensure data accuracy, timeliness, and usability for downstream applications
Other
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
- 10–14 years of experience in Data Engineering, Solution Architecture, or similar roles
- Ability to work full-time
- Must be eligible to work in the United States
