Data Engineer

Job Description:
The Global Information Security Identity and Access Management (IAM) organization defines policy and delivers capabilities to empower the bank to better control access to its data, systems, and infrastructure.

Data is a critical component of the Identity and Access Management (IAM) strategy. The organization’s analytics team is building out data pipelines and warehouse infrastructure to support reporting and ad-hoc analysis. The Data Engineer will help head efforts to build out the data integration and database architecture.

Required Skills:
3-6+ years experience in a data engineering role

• Software development and enterprise ETL tool experience (e.g. Informatica)
• Ability to code, test, and document an ETL process from source data through to a warehouse
• Experience with logical/abstract database design with data at scale
• Fluency in SQL and at least one programming/scripting language (e.g. Python)
• Strong familiarity with an enterprise RDBMS (e.g. SQL Server and Oracle)
• Experience adhering to robust audit standards
• Ability to work in an agile environment and drive projects forward independently
• Understands disaster data recovery procedures and testing necessary for business continuity
• Strong initiative–we are a startup-like team driving change within the bank

Desired Skills:

• Bachelor’s degree in computer science or another quantitative field
• Experience building multiple ETL processes, both using an enterprise tool (eg. Informatica) or from the ground up with software development
• Some familiarity with Identity and Access Management and/or information security-related data

Shift: 1st shift (United States of America)

Hours Per Week: 40