Webpuppies Hiring! Full Time AWS Data Engineer - Redshift - QuickSight (Singapore) in , Earn up to SGD 15,000 - Ricebowl

Company Description

Webpuppies Digital, established in 2000, has been at the forefront of delivering digital transformation solutions to clients across 21 countries, including Singapore government agencies, global enterprises, and SMEs. With a strategy-first and results-driven approach, we focus on understanding business goals before crafting and executing tailored digital strategies. Our expertise spans AI consultancy, smart systems integration, web and mobile app development, cloud solutions, and emerging technologies such as VR/AR and FinTech. We take pride in being strategic digital partners, supporting businesses from planning to execution and ongoing innovation.

We're hiring a Senior AWS Data Engineer to own the data foundation and BI layer for a flagship AWS analytics + GenAI program with a marquee client in Singapore. You'll build from raw ingestion through curated, governed, BI-ready data products — and bring it to life in QuickSight dashboards business users actually trust.

What you'll build

• Batch and streaming ingestion pipelines on Glue, S3, Lambda, and Kinesis
• Bronze/silver/gold layers on S3 and Redshift, with Spectrum for federated access
• Glue jobs (PySpark / Spark SQL), workflows, and orchestration via Step Functions or MWAA
• Dimensional, normalized, or data-vault models tuned for Redshift workloads
• QuickSight datasets, SPICE strategies, calculated fields, drill-throughs, RLS/CLS, and dashboards aligned to client KPI frameworks
• Observability, data quality checks, CI/CD via CodePipeline or GitHub Actions, IaC with CloudFormation or Terraform

What you bring

• 5+ years hands-on data engineering, 2–3+ on AWS
• Production Glue, S3, Redshift, Athena — not pilots
• Strong PySpark / Spark SQL and Python; advanced Redshift SQL (you know your way around dist/sort keys)
• Proven QuickSight delivery — datasets, SPICE, dashboards, RLS, embedded analytics
• Lakehouse design experience (S3 + Glue Catalog + Spectrum / Iceberg)
• IaC and CI/CD for data pipelines
• Comfortable defending designs in client architecture reviews

Nice to have

• AWS Data Engineer Associate or Analytics Specialty
• Lake Formation, DataZone, or third-party governance tooling exposure
• Integrating Bedrock or SageMaker outputs back into BI layers
• RFP / pre-sales experience in a Tier-1 SI or AWS Partner environment

Engagement Details:

Engagement type: Project-based / contract

Location: Singapore / hybrid – onsite as required by client cadence

Duration: Initial 6–12 months, with extension subject to RFP award and delivery milestones

Reporting to: Engagement Lead / Delivery Manager

Why Join This Engagement

• Anchor role on a flagship AWS analytics and GenAI program with a marquee client.
• Work shoulder-to-shoulder with AWS specialists across Bedrock, SageMaker, Glue, Redshift, Lake Formation, and QuickSight.
• Tight, aligned delivery pod — no dilution across competing SI narratives, clearer ownership, faster decisions.
• Real production scope — the work moves from RFP response straight into build and operate.
• Direct exposure to senior client stakeholders and AWS partner teams.

Job Type: Contract
Contract length: 12 months

Pay: $5,000.00 - $15,000.00 per month