Senior Data Engineer: Snowflake Data Pipelines

A*STAR - Agency for Science, Technology and Research

Singapore

On-site

SGD 90,000 - 130,000

Full time

3 days ago

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Job summary

A*STAR - Agency for Science, Technology and Research is seeking a hands-on Data Engineer to design, build and maintain reliable data pipelines on a Snowflake-centric platform in Singapore. You will collaborate with analysts, governance teams and senior engineers to ensure data accuracy, security and scalable consumption for analytics and AI use cases.

The role emphasizes practical ELT/ETL development, data modelling and implementing modern data governance while applying CI/CD practices and

Qualifications

Bachelor's degree or higher in Computer Science, Software Engineering, Information Systems, Data Engineering or related field.
Typically 3-5 years of experience in data engineering, data warehouse development or platform engineering.

Responsibilities

Develop and maintain Snowflake databases, schemas, tables, views, tasks, streams and stored procedures.
Build ELT/ETL pipelines from source systems into Snowflake using approved integration patterns.
Optimize SQL transformations and warehouse usage for performance and cost.
Support Medallion Architecture (Bronze, Silver, Gold, Platinum) as applicable.
Build ingestion pipelines from ERP, HR, procurement, finance and research systems.
Support batch, incremental, CDC and near-real-time ingestion patterns.
Develop reusable components for extraction, transformation, validation, error handling and monitoring.
Troubleshoot data pipeline failures with source system owners.
Implement role-based access controls, masking and security controls per standards.
Document source-to-target mappings and transformation logic; use Git/CI/CD for deployment.