About the role
- Analyze, process, and interpret large datasets to generate actionable insights
- Develop and maintain ingestion and transformation processes
- Design data warehouse models as part of the Common Data Model in a Data Lakehouse architecture
- Extend the current Snowflake-based data warehouse
Requirements
- Commercial experience with cloud-based solutions (at least 2 years)
- Commercial experience with data warehouses (at least 1 year)
- Strong proficiency in SQL (including complex analytical queries and data transformations)
- Understanding of the Data Lakehouse approach
- Experience with source version control systems (Git)
- Familiarity with Snowflake, dbt, and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is an advantage
- Experience with data visualization and BI tools (such as Power BI or Looker) is a plus
- Excellent analytical and problem-solving skills
- A proactive, open-minded approach to challenges and learning new technologies
- Strong communication and collaboration skills
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata transformationdata warehousingdata visualizationanalytical queriesData Lakehousedata analysisdata modelingdata ingestiondata processing
Soft skills
analytical skillsproblem-solving skillscommunication skillscollaboration skillsproactive approachopen-mindedness