Job Description
Role: Data Engineer
Location: 2 days onsite (hybrid)
Type: Contract-to-Hire or Full-Time
Domain: Finance preferred, not mandatory
Key Skills & Requirements:
Must-have: Strong Python and Informatica experience
AI/ML Exposure: Familiarity with building and fine-tuning models; not a heavy AI/ML developer role
ETL & Data Engineering: Hands-on experience with ETL pipelines, data modeling, and “data plumbing”
Nice-to-have: Snowflake ecosystem experience, HR systems exposure
Ability to collaborate with business teams handling Data Science
Candidate Profile:
Hands-on Data Engineer comfortable building data pipelines and models
Exposure to AI/ML concepts without being a full AI specialist
Finance domain experience is a plus
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