Data Engineering, Lakehouse and AI Data Platform Engineer, Analyst, Singapore
GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.
Singapore, Singapore
Not specified; not specified; not specified
Not specified
Python or java programming experience
Strong sql troubleshooting and optimization skills
Apache spark distributed processing knowledge
Goldman Sachs is seeking a Data Engineer for their Lakehouse and AI Data Platform team in Singapore. The role focuses on building and maintaining data pipelines, ensuring high data quality, and supporting analytics and AI use cases within a collaborative engineering environment
Job Summary
This role involves designing and building robust data pipelines and curated datasets on the firm's modern Lakehouse and AI data platform.
Candidates will work across ingestion, transformation, modeling, and optimization to deliver reliable, scalable data products for analytics and AI use cases.
The position requires strong collaboration with engineers and data consumers to ensure production-ready solutions that support critical business decision-making.
Matching Summary
Match Score: 85
Goldman Sachs is seeking a Data Engineer for their Lakehouse and AI Data Platform team in Singapore. The role focuses on building and maintaining data pipelines, ensuring high data quality, and supporting analytics and AI use cases within a collaborative engineering environment.
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
JSON Avro Parquet data format familiarity
Nice-to-have
Experience with Snowflake or Databricks platforms
Knowledge of Apache Iceberg table formats
Familiarity with Kafka streaming technologies
Understanding of CI/CD and containerized deployment
Ability to contribute to shared tooling frameworks
Interest in long-term technical growth within firm
Key Requirements
Bachelor's or master's degree in relevant discipline
Strong quantitative skills or data engineering expertise
Experience with temporal data modeling and change over time