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