• Take ownership of data quality by identifying, analyzing, and resolving data issues.

• Convert business processes into dependable data structures.

• Develop and enhance ETL pipelines.

• Provide clean and organized data for analytics and business intelligence.

• Manage AdHoc analytical requests within tight deadlines.

• Maintain and enhance Power BI reporting capabilities.

• Automate repetitive tasks to improve efficiency.

• Offer analytical support as needed.

• Conduct training sessions for users on business intelligence tools.

• Proficient in Python and SQL, including query optimization, complex data transformations, and handling large datasets.

• Practical experience with ClickHouse or other columnar databases.

• Strong expertise in creating ETL/ELT pipelines, including ingestion, transformation, and orchestration; experience with Airflow is advantageous.

• Comprehensive understanding of Data Warehouse architecture.

• Excellent Data Quality Assurance skills for identifying and resolving data-related issues.

• Proficient in Power BI, including report creation and maintenance.

• Ability to swiftly grasp business logic and translate it into data models.

• Exceptional attention to detail.

• Proficient in English at B2 level or higher (working proficiency).

• Access to a corporate psychologist.

• Gifts for significant life events.

• Legal assistance provided.

• Flexible working hours available.

• Direct access to C-level executives with opportunities to propose new business ideas and influence change.

Data Engineer

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