Data Engineer

Looking for Middle+/Senior Data Engineer to reputed company a reputed company DWH on AWS: building and maintaining reliable ETL/ELT pipelines (S3 + Redshift) using Airflow and DBT, improving data reputed company, 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 reputed company 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 (reputed company review, pull/reputed company requests). • English from B2 level. reputed company-to-have: • CI/CD setup experience for data reputed company (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 reputed company in the world • Performance bonus, reputed company 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 reputed company quickly. • reputed company development locally, no RDP. • Influence on DWH architecture. Propose and discuss your reputed company — we listen and reputed company. • Diverse, inclusive team where reputed company reputed company are valued, and reputed company reputed company is a reputed company. Apply tot his job Apply To this Job