Russian Federation onlyLooking for Middle+/Senior Data Engineer to develop a cloud DWH on AWS: building and maintaining reliable ETL/ELT pipelines (S3 + Redshift) using Airflow and DBT, improving data quality, and collaborating with analytics and product teams.
Requirements
- Excellent SQL (window functions, optimization for analytical workloads).
- AWS experience: at least S3 and Redshift (or any other cloud data warehouse).
- Hands-on experience building ETL/ELT pipelines and orchestrating them in Airflow.
- DBT experience: models, tests, documentation, Git workflow.
- Python for data pipelines.
- Understanding of data modeling approaches and DWH architecture (we use Data Vault 2.0).
- Git workflow skills (code review, pull/merge requests).
- English from B2 level.
Nice-to-have:
- CI/CD setup experience for data projects (DBT, tests, pipeline deployment).
- Experience with Kafka/Kinesis or other streaming data sources.
- Experience with BI tools (Looker, Power BI, Tableau, etc.).
Benefits
- Remote work from anywhere in the world
- Performance bonus, paid vacations and day-offs, personal development plan
- Transparent processes, short dailies, regular retros and 1-on-1s. We prioritize work over endless calls.
- Minimal documentation — only critical docs, analysts handle the rest.
- Fast deploys and minimal approvals. See your work's impact quickly.
- All development locally, no RDP.
- Influence on DWH architecture. Propose and discuss your ideas — we listen and act.
- Diverse, inclusive team where all voices are valued, and professional growth is a priority.
Nigeria
AF, AL + 146 more
