Data Engineering, Lakehouse and AI Data Platform Engineer, Associate, Singapore

GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.

Singapore, Singapore
Not specified; not specified; not specified
Not specified (assumed office-based in singapore)
Python or java programming experience
Strong sql troubleshooting and optimization skills
Apache spark distributed processing knowledge
Goldman Sachs is seeking an Associate for their Data Engineering team in Singapore, focusing on building a modern Lakehouse and AI data platform. The ideal candidate will have strong programming skills, knowledge of SQL, and experience with data engineering practices, contributing to the development of reliable, scalable data solutions

Job Summary

  • This role focuses on building the data foundations that support the firm's AI and analytics capabilities through a modern Lakehouse platform.
  • Engineers will design, build, test, and support batch and streaming data pipelines while ensuring high reliability and data quality.
  • The position offers opportunities to work with cutting-edge technologies like Apache Spark, Snowflake, and Kafka in a collaborative engineering environment.

Matching Summary

Match Score: 85

Goldman Sachs is seeking an Associate for their Data Engineering team in Singapore, focusing on building a modern Lakehouse and AI data platform. The ideal candidate will have strong programming skills, knowledge of SQL, and experience with data engineering practices, contributing to the development of reliable, scalable data solutions.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Python or Java programming experience
  • Strong SQL troubleshooting and optimization skills
  • Apache Spark distributed processing knowledge
  • Production data pipeline engineering
  • Data modeling and schema design expertise
  • CI/CD and version control practices

Nice-to-have

  • Experience with Snowflake or Databricks platforms
  • Knowledge of Apache Iceberg or Hadoop ecosystem
  • Familiarity with Kafka streaming technologies
  • Understanding of temporal data modeling
  • Ability to contribute to shared platform tooling
  • Experience with containerized Kubernetes deployment

Key Requirements

  • Bachelor's or master's degree in relevant discipline
  • Equivalent practical experience with strong quantitative skills
  • Hands-on experience with Python or Java
  • Proven track record in production data pipeline delivery

Work Rights

Not specified

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