Asset & Wealth Management-Software Engineering-Associate-Dallas

What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.

Who We Look For

As a developer in theRegulatory Reporting Technology team, you will be an integral part of the AMD Engineering Ecosystem, focusing on critical data and compliance functions. You will design and implement complex, scalable systems forregulatory data ingestion, transformation, and reporting. This includes developing and optimizingETL processes, building Spark Refiners for data quality and aggregation, and managing enterprise-grade data warehouses. You will also participate in various projects and initiatives within Revenue Operations technology, ensuring the accuracy, integrity, and timely delivery of regulatory data.

Skills and Experience We Are Looking For

• Master's or bachelor's degree in computer science or related Engineering Field
• 3+ years of Java development and other programming languages with experience in Object Oriented Analysis, Design and testing best practices
• Experience in building scalable and distributed platforms (AWS cloud technologies is a plus).
• Knowledge in one or more SQL dialects.
• Demonstrated experience with ETL processing, data warehousing concepts, and data pipeline development.
• Proficiency with Apache Spark for data refining, transformation, and large-scale data processing.
• Self-motivated with analytical mindset who can multi-task to solve interesting and difficult technical problems under time pressure and resource constraints
• Experience with all stages of the development lifecycle: inception, analysis, design, review, testing, and deployment
• Excellent written and verbal communication skills

Preferred Qualifications

• A background in data intensive applications and Batch Process, especially withinregulatory data aggregation or financial reporting.
• Experience in AWS Cloud technologies, particularly services like S3, Redshift, Glue, or EMR.
• Comfortable working in highly dynamic and rapid development environment (Agile development experience)
• Working knowledge/experience in the financial or banking industry, with an understanding ofregulatory reporting requirements (e.g., Dodd-Frank, Basel, MiFID II) and data governance principles.
• Technologies & Tools: Java, Web/RESTful service development: HTML 5, JavaScript/ReactJS, JSON, Kubernetes, SQL,Apache Spark, Hadoop ecosystem, data warehousing solutions (e.g., Snowflake, Teradata), testing and build tools.