Data Engineer
Core
Building data and AI products to provide timely actionable insights for risk, regulatory, and compliance requirements at a bank.
Role type
Data Engineer
Builds
Data and AI products, frameworks, automation scripts, and reusable code
Domain
Banking / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
ETL/ELT development, data warehousing, SQL, NoSQL, Python, Spark/PySpark, Scala, SSIS, Cloud storage and computing services (AWS, Azure), Hadoop, Netezza, data modeling, data mapping, data profiling
Preferred skills
AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), Agile delivery, JIRA
Technologies
AWS, Azure, Hadoop, Netezza, JIRA, SSIS, Glue
Responsibilities
Contribute to planning, design, development, testing, implementation, documentation, and support of data and AI products; Partner with business stakeholders to translate requirements into data products; Accelerate development by building frameworks and automation scripts; Identify, track, and perform regression testing on defects; Support production issues and root-cause analysis; Participate in process improvement opportunities
Seniority
Mid-level (2-5 years experience)
