#vacancy Data Engineer👨💻
Format: Office
Work schedule: 5/2 full-time
Contacts: @sofia_karimova
🚀 Tasks:
- Design and develop DWH, creating a foundation for analytics.
- Build data highways: Develop, optimize, and maintain scalable ETL/ELT pipelines.
- Translate customer business needs into technical language and propose optimal architectural solutions.
- Help colleagues see the big picture by developing clear and fast dashboards.
- Implement Data Quality practices and ensure data trust throughout the company.
🔍 What's important to us:
- Confident SQL: You write complex queries, know how to optimize them, and understand how they execute under the hood.
- ETL/ELT experience: You understand pipeline construction principles and have worked with data integration tools.
- dbt practice: Experience with data modeling and writing transformations in dbt will be a huge plus.
- Engineering approach: You care about code quality, use Git, and understand the importance of Data Quality.
- Systems thinking: Ability to organize data in such a way that informative reports and dashboards can be built on its basis.
🧩Our technology stack:
Cloud & Storage: Google Cloud Platform (GCP), BigQuery
ETL/ELT: dbt, Airbyte, Python
Orchestration: Airflow
BI: Looker
🤝What we offer:
- Work format: Office + option to take 2 remote work days per month for a change of scenery.
- Voluntary Medical Insurance (DMS) for you and your family
- Lunch compensation or catering directly at the office
- Corporate sports teams for active recreation
- Official employment
- Flexible start to the workday
- Birthday bonus and cash payment upon the birth of a child.
- We pay for external training and provide access to a corporate online library.
- Vibrant corporate events and team building.
