Implement data integration architecture and solutions for our Investments and Hedging delivery teams.
Design and develop ETL logic using Informatica Informatica Data Management Cloud, Snowflake and various Azure data tools to support existing and future deployments
Design and execute technical aspects of data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data
Collaborate directly with teammates and business partners to build technical solutions that solve problems, are reusable, scalable, fast, and maintainable through large datasets, both clean and un-clean
Work with multiple development technologies including SQL
Interact cross-functionally with other technical teams both internally and externally to implement complete technology solutions
Design and develop code to support existing and future deployments
Independently solve problems and fix technical issues
Responsible for unit test construction and execution

Associate’s/Bachelor's Degree (preferred emphasis in technology, engineering or math related field) or equivalent combination of education and experience
4-7 years of experience designing, building, and supporting real-time data pipelines and analytical solutions
2+ years of experience in supporting ETL, production data operations (File processing, data distribution etc.,) including debugging, addressing production issues and performing Root Cause Analysis
Strong ability to write SQL queries, Python scripts, and interpret data models
Experience with Snowflake, SQL Server and/or Oracle
Experience building data structures, solutions and products
Experience writing automated unit, integration, and acceptance tests for data interfaces & data pipelines
Understanding of object-oriented analysis and design

Senior Data Engineer, Investments

Key skills