Related skills
bigquery snowflake sql python dbt📋 Description
- Design, build, and maintain scalable data models using SQL and dbt.
- Apply software engineering practices to analytics code, including version control and testing.
- Automate data validation, testing, and reporting processes.
- Own data analysis for a domain, collaborating with product analysts and stakeholders.
- Monitor data integrity, identify issues, and perform root cause analysis.
- Maintain data documentation and definitions for easy reference.
🎯 Requirements
- 2-4 years of analytics engineering or data analyst experience.
- Marketing analytics experience; proficient in SQL and Python.
- Data warehousing concepts, data modelling, and performance optimization.
- Data validation, testing frameworks, and version control (Git).
- Familiar with dbt, Snowflake/BigQuery/Redshift, Airflow, GCP and AWS.
- Communicate analytic findings clearly to diverse audiences.
🎁 Benefits
- Equity for Berlin-based employees.
- Profitable startup with growth opportunities.
- Central Berlin office for collaboration.
- Transport subsidy, meals, language learning, Urban Sports Club, and more.
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