Senior Data Engineer (GCP, Big Query, DBT, Python, AI, ML)
Шукаємо Senior Data Engineer з досвідом BigQuery, DBT та GCP в дуже велику і стабільну продуктову компанію. Компанія розробляє софт для найбільших страхових компаній світу.
Проект – побудова нової Data Platform (Data Lake, Lake House, Data Warehouse) на базі BigQuery з використанням DBT, Airflow, AI/ML, Python.
Шукаємо виключно українських девелоперів закордоном. Нажаль, в Україні цього разу не розглядаємо, через обмеження по доступу до критичних даних. Пропонуємо дуже гнучкі умови: віддалена робота, цікаві задачі і хороше/спокійне керівництво.
Опис вакансії:
What You’ll Do:
- Design & run pipelines – create, deploy, and monitor robust data flows on GCP.
- Write BigQuery SQL – build procedures, views, and functions.
- Build ML pipelines – automate training, validation, deployment, and model monitoring.
- Solve business problems with AI/ML – frame questions, choose methods, deliver insights.
- Optimize ETL – speed up workflows and cut costs.
- Use the GCP stack – BigQuery, Dataflow, Dataproc, Airflow/Composer, DBT, Celigo, Python, Java.
- Model data – design star/snowflake schemas for analytics and reporting.
- Guard quality & uptime – add tests, validation, and alerting; fix issues fast.
- Document everything – pipelines, models, and processes.
- Keep learning – track new tools and best practices.
What You’ll Need:
- 8+ yrs building data/ETL solutions; 2+ yrs heavy GCP work.
- 2+ yrs hands‑on AI/ML pipeline experience.
- Proven BigQuery warehouse design and scaling.
- Deep SQL, Python, DBT, Git; Talend, Fivetran, or similar ETL tools.
- Strong data‑modeling skills (star, snowflake, normalization).
- Solid grasp of Data Lake vs. Data Warehouse concepts.
- Problem‑solver who works well solo or with a team.
- Clear communicator with non‑technical partners.
- Bachelor’s in CS, MIS, CIS, or equivalent experience.
Quick‑Fit Questions:
- Which ETL tools have you used? Which do you prefer, and why?
- Rate your Python skills 1–10. Why that score? Share a recent Python project.
- Rate your DBT skills 1–10. Why that score?
- Data Lake vs. Data Warehouse – key differences and when to choose each?
- Define a star schema.
- Have you built an ETL framework? Outline its main components.
Published 24 July
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$4000-6000
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