Data Engineer - Cognizant

Title: AWS Data Engineer Location: Singapore

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 Required Technical Skills - Databricks Unity Catalog - catalogue/schema design, access control, and data lineage Lakeflow / Delta Live Tables for pipeline orchestration; Delta Lake table format Databricks SQL and cluster/workspace administration (compute policies, pools, cost management) Databricks Asset Bundles (DABs) and Databricks Repos for CI/CD PySpark / Spark SQL for large-scale data transformation Working knowledge of Databricks system tables (audit logs, billing/usage, query history) for observability Minimum 5 years of hands-on experience in Data Engineering, Data Platform Engineering, or related disciplines.

Minimum 3 years of hands-on experience with Databricks involving data pipeline development, platform administration, governance, and optimization. , 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 Preferred

g. AWS Certified Data Engineer - Associate, Solutions Architect) and hands-on experience with AWS data services. Prior experience delivering on a regulated-sector data platform, or exposure to compliance frameworks such as IM8, is an add-on Experience working as part of a System Integrator (SI) delivery team alongside a platform Principal is an add-on. 000000.