Data Engineer (Cloud Solutions)
Job Summary
- Design implement and rollout of Corporate IT Applications in data analytics cloud environment.
- Collaboration with the business and cross-functional teams for gathering requirements and being able to design/deliver solutions.
- Implement data integration and ETL processes.
- Performance tuning maintenance support and further development of existing applications.
- 5 Years of minimum experience as a Data Engineer in cloud solutions
- Strong understanding of ERP Processes (Logistics / SCM).
- Good understanding of data modelling concepts preferably based on the Data Lake / Cloud Data Warehouse environment handling large datasets.
- Good programming skills in Python PySpark Java SQL or similar languages.
- Familiarity with cloud platforms (MS Azure).
- Proficiency in data modelling workflows and data visualization.
- Knowledge in MS Power BI and other BI technologies
- Experience with full-stack development.
- Knowledge of machine learning and AI technologies.
- Knowledge on SAP Business Warehouse SAP Analytics Cloud SAP Datasphere.
- Quick Learner Analytical thinking and a good problem-solver.
- Experience with Power BI for data visualization and reporting.
- Customer-orientated thinking flexibility enthusiasm and ability to work in a team.
- English fluency (mandatory)
The benefits will be determined once the contractual terms have been established.
Required Skills:
Years of experience: 5 Years of minimum experience as a Data Engineer in cloud solutions Functional Skills: Strong understanding of ERP Processes (Logistics / SCM). Technical Skills: Good understanding of data modelling concepts preferably based on the Data Lake / Cloud Data Warehouse environment handling large datasets. Good programming skills in Python PySpark Java SQL or similar languages. Familiarity with cloud platforms (MS Azure). Proficiency in data modelling workflows and data visualization. Knowledge in MS Power BI and other BI technologies Nice-to-have: Experience with full-stack development. Knowledge of machine learning and AI technologies. Knowledge on SAP Business Warehouse SAP Analytics Cloud SAP Datasphere. Soft Skills: Quick Learner Analytical thinking and a good problem-solver. Experience with Power BI for data visualization and reporting. Customer-orientated thinking flexibility enthusiasm and ability to work in a team. Languages: English fluency (mandatory)