Data Engineering - Data Lake - Software Engineer - Dallas

at  Goldman Sachs

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 core and business-aligned teams, 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.

TECHNICAL SKILL REQUIREMENTS:

• Strong programming skills in language(s) such as Python, Java, or Scala.
• Proficiency in SQL and background in relational databases (e.g., PostgreSQL, MySQL, SingleStore).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Knowledge of data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
• Fluency with version control systems (e.g., Git) and CI/CD pipelines.
• Experience with ETL tools and data processing frameworks, when to use them and when not to.
• Understanding of data modeling, data architecture, and data governance principles.
• Ability to think on your feet, be pragmatic, labor for simplicity, and collaboratively solve for the problem.
• Communicate and convey complex technical concepts to both technical and non-technical stakeholders.

PREFERRED QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Please refer the Job description for details