Data Platform Engineer
Prodig GmbH
About the role
Your role in the team
• Development and operation of modern data pipelines and ETL/ELT processes
• Optimization of data models, data flows, and platform performance
• Development and further enhancement of transformation and workflow processes
• Development of data integrations and stored procedures
• Monitoring, error analysis, and ensuring data quality
• Participation in the migration of legacy systems to modern cloud environments
• Implementation of security, governance, and reliability requirements
• Collaboration with specialist departments and engineering teams
• Support in the further development of the data platform
What we offer
• We value that you develop not only professionally as part of our team but also feel comfortable personally. Therefore, we offer individual benefits tailored to your needs in collaboration with you – because with us, you are recognized as a unique person.
Technologies and skills
• Snowflake
• AWS
• Azure
• Git
• SQL
• Python
Our expectations:
Qualifications
• Excellent SQL and Python skills in building modern data pipelines.
• Knowledge of ETL/ELT processes, data modeling, and workflow orchestration
• Knowledge of CI/CD, Git-based development processes, and monitoring
• High quality awareness in the areas of Security, Governance, and Reliability
• German and English language skills at C1 level
Experience
• Experience with Snowflake, Databricks, and dbt
• Experience with AWS and/or Azure as well as cloud-based data platforms
• Experience in the migration and modernization of legacy systems
Education
• Completed degree in Computer Science, Business Informatics, Data Science, or a comparable qualification
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