Related skills
sql python gcp dbt spark📋 Description
- Design, implement and evolve scalable data infra for cost and carbon intelligence.
- Own end-to-end data pipelines for cloud cost, usage, and emissions data.
- Partner with Data Scientists, Eng, Finance, and Procurement to translate needs into architectures.
- Set standards for data modeling, orchestration, testing, and observability in Cost Engineering.
- Build analytics-ready datasets powering reporting, forecasting, and optimization.
- Ensure data accuracy and timeliness for high-stakes cost/emissions reporting.
🎯 Requirements
- Senior data engineer with end-to-end production data systems experience.
- Degree in computer science, engineering, or related field, or equivalent.
- Experienced designing scalable data architectures for large data.
- Hands-on with cloud data platforms (GCP preferred).
- Proficient with Python, SQL, DBT and orchestration frameworks.
- Experience with Spark, Flink, or Dataflow.
🎁 Benefits
- Health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
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