A tech solutions company in Las Vegas is seeking an experienced Data Engineer with 7-10 years in the industry. The role demands expertise in Python and SQL, along with strong communication skills to collaborate with various teams. Ideal candidates will have a background in the banking sector, specifically in Fraud, Risk, and Payment systems, and lead small teams. This position requires on-site work five days a week with opportunities to work outside prescribed hours for UAT and production support.
Qualifications
Minimum 7-10 years of industry experience as a Data Engineer.
Strong knowledge in SQL for database management.
Hands-on experience writing Python scripts from scratch.
Responsibilities
Build relationships with Business, Product, and Technology teams.
Lead a team of 2-3 Data Engineers.
Support UAT and production environments.
Skills
Python
SQL
Communication
Debugging
Team Leadership
Tools
SAS
Job description
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
Nice to Have
Someone who knows both Python and SAS will have an advantage