We are seeking a Middle+/Senior Data Engineer to develop a cloud DWH on AWS, building and maintaining reliable ETL/ELT pipelines, improving data quality, and collaborating with analytics and product teams.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Looking 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
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- 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.)
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- 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
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