Description We are looking for a Middle/Senior DWH Engineer to design, build, and maintain scalable data warehouse solutions that power analytics and business decision-making. You will work across the full data lifecycle — from ingestion and modeling to optimization, reliability, and automation — collaborating closely with analysts, developers, and business stakeholders. Requirements * Strong SQL skills: complex queries, CTEs, window functions, analytical queries (5+ years experience); * Knowledge of Python or other scripting languages for data transformations (3+ years experience); * Deep understanding of DWH concepts: ETL/ELT, Data Vault, Kimball, Star/Snowflake schemas (4+ years experience); * Experience with Airflow or other data pipeline orchestrators (3+ years experience); * Hands-on experience with modern DWH and query engines: BigQuery, Snowflake, Redshift, ClickHouse, Vertica, AWS Athena, Trino (2+ years experience); * Confident use of Git; experience with team workflows (pull requests, rebasing, merge conflict resolution) (5+ years experience); * Understanding of server and cloud infrastructure: basic skills in configuration, maintenance, monitoring, and load control (2+ years experience).
Nice to Have * Experience with CDC tools and streaming data sources; * Knowledge of Docker, Kubernetes, and Infrastructure as Code (Terraform); * Experience with cloud platforms: AWS, GCP, or Azure; * Familiarity with data governance, data cataloging, and lineage tools.
Responsibilities: * Design, build, and maintain scalable Data Warehouse architectures aligned with business needs; * Develop and optimize ETL/ELT pipelines using Python/Airflow and custom solutions; * Work with DWH\Datalake: PostgreSQL, Trino, BigQuery; * Implement incremental loads, CDC, backfills, and reprocessing strategies; * Optimize query performance, data models, and pipeline execution; * Ensure data quality through validation, automated testing, monitoring, and alerting; * Integrate new data sources (APIs, third-party systems, raw data) without disrupting existing pipelines; * Collaborate with analysts, engineers, BI teams, and business stakeholders to translate requirements into data solutions; * Mentor engineers, review code, and contribute to data standards and best practices.
Benefits Flexible payment options: choose the method that works best for you; Tax assistance included: we handle part of your taxes and provide guidance on the local setup; Financial perks: Bonuses for holidays, B-day, work milestones and more — just to show we care; Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us; Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more; Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage; Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow; Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.
