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.
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
AWS certification (e.g. AWS Certified Data Engineer - Associate, Solutions Architect) and hands-on experience with AWS data services.
Prior experience delivering on a government or 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
About Cognizant:
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
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Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
