Data Warehouse Developer

vor 4 Wochen


Osnabrück, Niedersachsen, Deutschland Greenbone AG Vollzeit

We are seeking a highly skilled Data Warehouse Developer to join our Data Solutions team at Greenbone AG. As a key member of our team, you will be responsible for maintaining and enhancing our data infrastructure, integrating new data sources, and improving processes to support our development into a fully data-driven organization.

Key Responsibilities
  • Maintenance: Optimize and maintain our Data Warehouse based on Python, PostgreSQL, and GitHub Actions.
  • Integration of New Data Sources: Collaborate with stakeholders to integrate new data sources into the Data Warehouse.
  • Technological Advancement: Evaluate and implement new technologies to simplify the maintenance and expansion of the Data Warehouse.
  • Process and Methodology Development: Contribute to the improvement and development of methods, structures, and processes within our team.
  • Monitoring and Troubleshoot: Monitor performance and troubleshoot issues within ETL processes.
Requirements
  • Technical Expertise: Proficiency in Python, SQL, relational databases, and data modeling.
  • Willingness to Learn: Enthusiasm for learning technologies, concepts, and tools in data engineering.
  • Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot and optimize data processes.
  • Experience: 2+ years of experience with managing data warehouses and ETL systems or data-intensive applications.
  • Communication: Strong communication skills, with the ability to document and explain technical details clearly.
  • Pragmatic Evaluation: Ability to critically assess new technologies and best practices.
  • Familiarity with Version Control: Experience using Git or other version control systems.

Nice to have:

  • Experience with tools for ETL, data orchestration, big data, or business intelligence.
  • Experience with data analysis or data science.
  • Business Acumen: Understanding of how businesses operate, including key processes and workflows that drive organizational success.

We offer a dynamic and diverse team, flexible working hours, and a family-friendly work environment. If you are passionate about data engineering and want to contribute to the growth of our company, please apply.



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