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Open nowPosted 6 days ago

Data engineer with Snowflake

MyCareersFuture94,028 open roles

Pay
SGD 4,000 – SGD 7,000 a month
Where
Singapore
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Your applicationOpen nowData engineer with SnowflakeMyCareersFuture · Singapore

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Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 6 days ago

The posting

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
  • Snowpipe and Snowpipe Streaming for continuous ingestion
  • Snowpark (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 hyperscaler — 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
  • SnowPro Core, or SnowPro 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
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