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Tech Stack
Tools & technologiesAirflowETLPythonSQL
About the role
Key responsibilities & impact- Own data quality: identify, analyze, and fix data issues
- Translate business processes into reliable data structures
- Build and optimize ETL pipelines
- Deliver clean and structured data for analytics and BI
- Handle AdHoc analytical requests under tight deadlines
- Maintain and improve Power BI reporting
- Automate repetitive tasks
- Provide analytical support
- Train users on BI tools
Requirements
What you’ll need- Advanced Python and SQL (query optimization, complex data transformations, large-scale data handling)
- Hands-on experience with ClickHouse or other columnar databases
- Strong background in building ETL/ELT pipelines (ingestion, transformation, orchestration). Experience with Airflow is a plus.
- Solid understanding of Data Warehouse architecture
- Strong Data QA skills (identifying and resolving data issues)
- Experience with Power BI (building and maintaining reports)
- Ability to quickly understand business logic and translate it into data models
- High attention to detail
- English — B2 or higher (working proficiency).
Benefits
Comp & perks- Corporate psychologist;
- Gifts for significant occasions;
- Legal support;
- Flexible working hours;
- Direct access to C-level and opportunity to suggest new business ideas and drive changes.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLETLELTdata transformationsdata quality assurancedata warehouse architectureClickHouseAirflowPower BI
Soft Skills
attention to detailanalytical supportbusiness logic understandingtrainingtime management