Senior Analytics Engineer
June 26
Description
• Manage the entire data value chain, from data sources to business insights • Collecting business requirements, modeling data, building data pipelines, creating data visualizations, and helping businesses make decisions based on this data • Communicating results to the business and helping to use them to make decisions • Staying up to date with the latest trends and best practices in analytics engineering
Requirements
• Proficiency in SQL and at least one DBMS (e.g., BigQuery, Hive, Oracle) • 3+ years of experience working with either PowerBI, Looker, or both • Being familiar with at least one programming language (preferably Python) • Ability to map business requirements to data products (reports, analysis) • Experience at designing and defining data structures and relationships tailored for analysis that align with business requirements (also taking into account efficient storage retrieval) • Ability to work with different datasets and data sources • Being familiar with data visualization best practices and the ability to tell stories with data • Experience working with dbt and FlinkSQL in a plus
Benefits
• 100% remote work • Flexible working hours • Co-financing sport card • Co-financing health care • All equipment needed for work • Opportunity to learn and develop with the best Big Data experts • International projects • Possibility of conducting workshops and training • Certifications
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