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Описание: |
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.
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