Data Engineer (d/m/w), Zi (Berlin)
Core
Build and optimize time-critical ETL processes to integrate diverse data sources for medical supply chain analysis and reporting.
Role type
Data Engineer
Builds
Data pipelines and streams for national medical service analysis
Domain
Healthcare / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, ETL process design, Data Wrangling, Apache Airflow, Apache Spark, Apache Doris, S3 storage, Git version control
Responsibilities
Maintain ETL processes in modern data architecture, Process and clean large datasets, Collaborate with data scientists and researchers, Manage data integration from multiple sources
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