
Data Engineer
Posted May 6

Posted May 6
• 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.
SmartLight Analytics
CloudSmiths
BPCS, Comprehensive marketing solutions, ltd.
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