Data Engineer (AWS) | Work From Home
DATA WAREHOUSE ENGINEER
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WHAT IS A/AN DATA WAREHOUSE ENGINEER?
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 WILL BE YOUR MAIN RESPONSIBILITIES?- 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
- 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
- Terraform / Infrastructure as Code
- Cloud data warehouses (Redshift, Snowflake, or BigQuery)
- CI/CD practices
- Agile team experience
- 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