Software Engineering, Lakehouse and AI Data Platform Engineer, Analyst, Singapore
GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.
Singapore, Singapore
Not specified
Python or java programming experience
Strong sql troubleshooting and optimization skills
Apache spark distributed processing knowledge
Goldman Sachs is seeking a Software Engineer for their Lakehouse and AI Data Platform team in Singapore. The role focuses on building reliable data pipelines and supporting analytics capabilities, requiring strong programming skills and a collaborative mindset
Job Summary
This role involves building the data foundations that support the firm's AI and analytics capabilities within a modern Lakehouse environment.
Engineers will design, build, test, and support production-ready batch and streaming data pipelines while ensuring high data quality and reliability.
The position offers opportunities to contribute to shared platform tooling and work closely with stakeholders to deliver robust data products.
Matching Summary
Match Score: 85
Goldman Sachs is seeking a Software Engineer for their Lakehouse and AI Data Platform team in Singapore. The role focuses on building reliable data pipelines and supporting analytics capabilities, requiring strong programming skills and a collaborative mindset.
Skills & Requirements
Must-have
Python or Java programming experience
Strong SQL troubleshooting and optimization skills
Apache Spark distributed processing knowledge
Production data pipeline engineering
JSON Avro Parquet data format familiarity
CI/CD version control and testing practices
Nice-to-have
Snowflake or Databricks platform experience
Apache Iceberg storage technology knowledge
Kafka streaming data capabilities
Temporal data modeling expertise
Technical leadership for junior engineers
Reusable tooling development mindset
Key Requirements
Bachelor's or master's degree in relevant discipline
Strong quantitative skills or data engineering expertise