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Data Warehouse EngineerSatellite Office • Taguig, Metro Manila, Philippines
Data Warehouse Engineer

Data Warehouse Engineer

Satellite Office • Taguig, Metro Manila, Philippines
5 days ago
Job description

AWS · Data Warehouse Team · Hybrid

Build the cloud data platform behind enterprise-scale telecommunications analytics — on a team small enough that your code actually ships and your decisions actually count.

We're hiring a hands-on Data Engineer who loves untangling messy data problems, building pipelines people can rely on, and working shoulder-to-shoulder with the teams who depend on them. You won't be a cog in a 40-person org chart. You'll own real surface area, shape technical direction, and see your work in production fast.

Our stack is modern and fully AWS-native: S3, Athena, Redshift, Glue, Lambda, and Terraform, with SQL and Python as your daily drivers.

What you'll do

  • Design, build, and optimize ETL/ELT pipelines across our AWS environment

  • Ship scalable reporting and analytics solutions on cloud-native tooling

  • Partner directly with stakeholders to turn fuzzy requirements into clean data products

  • Write SQL and Python that's reliable, readable, and built to last

  • Evolve our data warehouse architecture and data models

  • Manage infrastructure the right way — Terraform and IaC, not click-ops

  • Bring ideas to solution design and continuous-improvement conversations

  • Diagnose data-quality issues and pipeline failures, and keep production stable

What you bring

  • 5+ years as a Data Engineer, ETL Developer, or similar

  • Strong, daily-use SQL and Python for data processing and pipeline work

  • Hands-on experience with AWS data services (S3, Athena, Redshift, Glue)

  • A track record building and maintaining ETL/ELT pipelines

  • Genuine communication skills — you can hold your own with cross-functional stakeholders

  • Comfort contributing to technical analysis and solution discussions

  • Happy with a hybrid setup

Nice to have

  • Terraform / Infrastructure as Code

  • Cloud data warehouses (Redshift, Snowflake, or BigQuery)

  • CI/CD practices

  • Agile team experience

Why you'll want in

  • Modern tooling, no legacy baggage — a clean AWS-native stack

  • Real ownership — contribute directly to technical decisions and platform improvements

  • Scale that matters — enterprise-grade telecom and analytics platforms

  • A lean, senior team — work closely with experienced technical leadership and grow fast

Sound like your kind of problem? We'd love to talk.

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Data Warehouse Engineer • Taguig, Metro Manila, Philippines

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