Data Engineer

• Design, develop, and maintain data models that support analytical needs across various business domains.
• Create domain entities to ensure data is organized and accessible for analysis, reporting, and business intelligence with normalized data model
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and translate them into effective data solutions.
• Implement data integration processes using Azure Data Factory, Azure Databricks, and other ETL tools.
• Utilize your deep Python expertise for data manipulation, transformation, and analysis within Azure Databricks.
• Optimize data storage solutions in Azure, ensuring efficient retrieval and performance.
• Monitor and troubleshoot data ingestion and transformation pipelines and processes to ensure data quality and integrity.
• Maintain documentation of data models, architecture, and processes for reference and compliance.
• Stay updated with the latest trends and technologies in data engineering and Azure services to continuously improve data solutions.

Lead Data Engineer

Data Engineer

SAP Data Migration Consultant, m/f/d