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Goldman Sachs in Dallas is seeking a Full-Stack/Back-End Software Engineer to join a data lake platform that reconciles data from multiple sources and enables data quality and regulatory compliance.
You will contribute to cloud-enabled core platform work, tackle big data challenges, collaborate with global teams, and influence design decisions across the data engineering stack.
Full-Stack/Back-End Software Engineer - Data Lake - Dallas job at Goldman Sachs. Dallas, TX.
Data Quality Software Engineer writes and manages software for GS central control and exception managing platform. The role in question is for our central control platform which reconciles internal data from majority of GS Ledgers / Risk systems and external data provides as Clearing Houses. The team is a platform team that enables operations and other engineering teams to reconcile business data and manage breaks. The reconciliation platform is central to majority of business units in GS and their internal and regulatory control requirements.
HOW YOU WILL FILL YOUR POTENTIAL
We are building out our Dallas team, this is a unique opportunity to be part of starting up the function in Dallas. You will be a part of industry leading community spanning New York, Stockholm and Bangalore.
Development wise you will take part of the startup journey to uplift and cloud enable a central GS platform. The role is an excellent opportunity for someone who would like to work on business critical big data problems and are looking for opportunity to have an impact.
The role also lends itself very well to get insight and learn about majority of business units and their middle and back office processing (ranging from equity and derivatives trading to consumer banking).
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Goldman Sachs