Data Engineer
Core
Design, build, and deploy scalable data lakehouse platforms and end-to-end ETL/ELT pipelines for clients, serving as the foundation for analytics, reporting, and AI workloads.
Role type
Senior Data Engineer (Cloud & Lakehouse)
Builds
Production data lakehouse solutions, automated data pipelines, and data quality frameworks on modern cloud platforms.
Domain
Cloud Data Engineering, Data Lakehouse, AI Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline design, Data Lakehouse architecture (Iceberg, Delta Lake, S3 Tables), Cloud platforms (AWS, Databricks, Spark, Microsoft Fabric), Python, SQL, Data Quality automation, Infrastructure as Code (Terraform, CloudFormation), CI/CD practices.
Preferred skills
Singapore Public Sector/GCC experience, Cloud certifications, AI/ML workload preparation (feature pipelines, RAG), Data migration, Governance frameworks (PII handling), BI tools (Power BI, Tableau, Looker).
Technologies
AWS (Glue, Step Functions, Lambda, S3), Databricks, Apache Spark, Microsoft Fabric, Apache Iceberg, Delta Lake, Terraform, CloudFormation, Python, SQL.
Responsibilities
Architect and implement scalable ETL/ELT pipelines on modern cloud data platforms; Define and maintain automated data quality validation frameworks; Write production-quality code and deploy solutions on cloud infrastructure including GCC environments; Prepare and serve data for AI and agentic workloads; Monitor, tune, and fix production pipelines; Collaborate with cross-functional teams and communicate technical designs to stakeholders.
Seniority
Senior, hands-on IC
