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AWS Data Engineer

00070354841

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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About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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The mentors I've had at Cognizant have shown me what a true leader looks like. Now, building my own team and watching them grow into confident trainers is what I'm most proud of.
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Cognizant has given me the opportunity to thrive as a leader and as a person. The culture of recognition, the great benefits and the sense of community motivate me, and I strive to give my best every day.
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