Databricks Data Engineer on AWS - Pipelines & Governance

ITCAN PTE. LIMITED; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ITCAN PTE. LIMITED in Singapore is seeking a seasoned Data Engineer to design, build and operate end-to-end data pipelines on Databricks and Snowflake, adhering to medallion architecture and governance.

You will configure workspaces, implement access controls, support migrations, and collaborate with solution architects to ensure observability and secure data handling for government/public-sector deployments.

Qualifications

• Minimum 5 years hands-on data engineering or data platform experience.
• Experience delivering data pipelines on Databricks or Snowflake.
• Strong knowledge of data governance, RBAC, and security strategies.
• Proficient in SQL and Python for large-scale transformations.

Responsibilities

• Design, build, and operate end-to-end data pipelines on Databricks/Snowflake.
• Configure compute policies, resource sizing, and access hierarchies.
• Implement data governance, lineage, masking, and security controls.
• Set up CI/CD and IaC for deployment and promotion workflows.
• Configure monitoring, telemetry, and audit logging for compliance.
• Support UAT, integration testing, and migration validation.
• Produce runbooks and access lists for operations teams.
• Collaborate with SDP Central Team and solution architects throughout delivery.

Skills

SQL

Python (PySpark)

CI/CD

Data modeling

Security/compliance

Observability

Tools

Databricks

Unity Catalog

Delta Live Tables

DABs & Repos

PySpark

SQL tooling

Terraform

Cloud platforms

Job description

ITCAN PTE. LIMITED in Singapore is seeking a seasoned Data Engineer to design, build and operate end-to-end data pipelines on Databricks and Snowflake, adhering to medallion architecture and governance.

You will configure workspaces, implement access controls, support migrations, and collaborate with solution architects to ensure observability and secure data handling for government/public-sector deployments.