Responsibilities
- Minimum 7-10 years of Industry experience as a Data engineering
- Good Communication - build relationships with Business + Product + Technology teams, work with multiple stakeholders
- Hands on knowledge in Python who can write python scripts from scratch
- Strong SQL Knowledge
- Banking Domain knowledge preferably in Fraud, Risk and Payment Systems
- Prior experience of leading a team of minimum 2-3 Data Engineers
- flexible to work outside of prescribed working hours - UAT/Production support experience
- This position is based in Client Office in Vegas, and it is completely WFO (5 days a week)
- Strong Debugging and error handling skills
- Quick learner and have skill to understand existing code base to apply new business logic
- Someone who knows both Python and SAS will have an advantage
- Worked in live UAT/Prod support environments