Data Engineer (Snowflake)

ITCAN PTE. LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ITCAN PTE. LIMITED in Singapore is seeking a skilled Data Platform Engineer to design, build, and operate data pipelines on Databricks and Snowflake.

You will configure workspaces, enforce governance, implement IaC, and collaborate with GovTech SDP Central Team to deliver secure, scalable data solutions for government programs.

Qualifications

• Minimum 5 years of hands-on experience in Data Engineering or related fields.
• Minimum 3 years of hands-on experience with Snowflake-enabled data pipelines.
• Strong SQL and Python for data engineering.
• Experience with CI/CD for data pipelines.
• Experience with IaC Terraform for provisioning cloud resources.
• Experience with at least one hyperscaler (AWS, Azure or GCP).
• Knowledge of government/public-sector data security and compliance.

Responsibilities

• Design, build, and operate end-to-end data pipelines on Databricks and/or Snowflake.
• Configure and administer workspaces/accounts — compute policies, resource sizing, environment setup, and access hierarchy — per the SDP reference architecture.
• Implement data governance controls: catalogue and schema design, RBAC, row/column-level security, data masking, and lineage tracking.
• Set up CI/CD and infrastructure-as-code for pipeline deployment and environment promotion (dev → test → prod).
• Configure monitoring, telemetry, and audit logging to meet SDP's central observability and security posture requirements.
• Support UAT, integration testing, and parallel-run validation during migration and go-live.
• Produce handover documentation (runbooks, access lists, escalation procedures) for agency operations teams.
• Work directly with GovTech's SDP Central Team, agency stakeholders, and Principal (Databricks/Snowflake) solution architects throughout delivery.

Skills

SQL

Python

Data modeling

CI/CD pipelines

Terraform

Cloud experience

Governance & security

Tools

Snowflake

Snowpipe

Snowpark

Job description

Key Responsibilities

• Design, build, and operate end-to-end data pipelines (ingestion → transformation → serving) on Databricks and/or Snowflake, following medallion/layered architecture patterns
• Configure and administer workspaces/accounts — compute policies, resource sizing, environment setup, and access hierarchy — per the SDP reference architecture
• Implement data governance controls: catalogue and schema design, RBAC, row/column-level security, data masking, and lineage tracking
• Set up CI/CD and infrastructure-as-code for pipeline deployment and environment promotion (dev → test → prod)
• Configure monitoring, telemetry, and audit logging to meet SDP's central observability and security posture requirements
• Support UAT, integration testing, and parallel-run validation during migration and go-live
• Produce handover documentation (runbooks, access lists, escalation procedures) for agency operations teams
• Work directly with GovTech's SDP Central Team, agency stakeholders, and Principal (Databricks/Snowflake) solution architects throughout delivery

Required Technical Skills — Snowflake

• Virtual warehouse sizing, scaling, and cost/performance tuning

• Snow pipe and Snow pipe Streaming for continuous ingestion
• Snow park (Python/Scala) for in-warehouse data engineering
• Role-based access control (RBAC), secure data sharing, and object tagging for governance
• Query profiling and performance optimization (clustering keys, materialized views, caching)
• Time Travel, zero-copy cloning, and Snowflake's native data protection features
• Minimum 5 years of hands-on experience in Data Engineering, Data Platform Engineering, or related disciplines.
• Minimum 3 years of hands-on experience with Snowflakes involving data pipeline

Required Technical Skills — Common

• Strong SQL and Python (PySpark or general-purpose) for data engineering
• Data modeling — dimensional design, star/snowflake schemas, semantic layers
• CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, GitLab CI) for data engineering workflows
• Infrastructure-as-code (Terraform preferred) for provisioning cloud data platform resources
• Hands-on experience on at least one hyper scaler — AWS, Azure, or Google Cloud
• Understanding of data security and compliance frameworks applicable to government/public-sector environments

Preferred Qualifications

• Databricks Certified Data Engineer Associate/Professional
• Snow Pro Core, or Snow Pro Advanced: Data Engineer
• Prior experience delivering on a government or regulated-sector data platform, or exposure to compliance frameworks such as IM8 is an add o n
• Experience working as part of a System Integrator (SI) delivery team alongside a platform Principal is an add on