DWH Engineer
New
G
Gypsy CollectiveData Analytics
Ukraine. Poland. Spain. Czechia. Germany. RomaniaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLETLGitSnowflakeAirflowData modelingBigQuery
Requirements
- Strong SQL skills: complex queries, CTEs, window functions, analytical queries (5+ years experience)
- Knowledge of Python or other scripting languages for data transformations (4+ years experience)
- Deep understanding of DWH concepts: ETL/ELT, Data Vault, Kimball, Star/Snowflake schemas (5+ years experience)
- Experience with Airflow or other data pipeline orchestrators (5+ years experience)
- Hands-on experience with modern DWH and query engines (BigQuery, Snowflake, Redshift, etc.) (5+ years experience)
- Confident use of Git; experience with team workflows (5+ years experience)
- Understanding of server and cloud infrastructure: configuration, maintenance, monitoring, and load control (3+ years experience)
Responsibilities
- Designing, building, and maintaining scalable Data Warehouse architectures aligned with business needs
- Developing and optimizing ETL/ELT pipelines using Python, Airflow, and custom solutions
- Working with DWH/Data Lake technologies including PostgreSQL, Trino, and BigQuery
- Implementing incremental loads, CDC, backfills, and reprocessing strategies
- Optimizing query performance, data models, and pipeline execution
- Ensuring data quality through validation, automated testing, monitoring, and alerting
- Integrating new data sources without disrupting existing pipelines
- Collaborating with analysts, engineers, BI teams, and business stakeholders
- Reviewing code, mentoring engineers, and contributing to data engineering standards
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