Senior Data Engineer designing and overseeing data pipelines in Databricks on AWS. Responsible for data quality and performance for enterprise analytics and AI workloads.
About the role
- Data Engineer responsible for developing ETL/ELT pipelines for Whow Games. Work includes optimizing data models and managing databases for analysis.
Responsibilities
- Develop ETL/ELT pipelines in Python and SQL to process, among other things, hundreds of millions of tracking events daily for our analytics tools
- Design and implement a modern data stack as part of continuous reevaluations focused on the efficiency, performance, and usability of the currently used solutions
- Design and optimize data modeling and data governance to ensure a clear and consistent data, analytics, and reporting environment
- Monitor and administer tools and databases in the existing data stack (including DWS — equivalent to Postgres — and dbt)
Requirements
- Proven professional experience in data engineering
- Experience in data analytics — experience with DWS / Redshift is a plus
- Strong knowledge of ETL/ELT, SQL, and NoSQL, and experience implementing ETL jobs
- Experience building scalable cloud solutions (e.g., AWS or HWC)
- Knowledge of administering data visualization tools such as Tableau is advantageous
- Strong analytical mindset, team-oriented working style, and excellent communication skills
Benefits
- Flexible working hours and the option to work remotely (office presence expected 2 days per week)
- Regular company events
- Fruit, drinks, and meal allowances
- Subsidy for the Deutschlandticket (German public transport pass)
- Optional Wellpass membership available
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