DTICI_SalesProductServices_DataEngineer_T9
• Data Engineering and Analytics Activities including Pipeline Development, Data Analysis, Quality Management, delivery aligned to Agile methodology - Azure, ADF, Databricks, Data Mesh • End to end accountability from requirement elicitation to industrialization • 3-5 years of strong experience in building entrerprise data solutions • 1-2 good Applied AI-oriented Applied Research Projects & Industry Projects applications
- Design, develop, and maintain robust Power BI Dashboard, Apps, ETL/ELT pipelines using tools like Informatica, Apache Spark, or Azure Data Factory.
- Work with structured and unstructured data across cloud (Azure/AWS/GCP) and on-prem systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Optimize data workflows for performance and scalability.
- Implement data governance and security best practices.
- Monitor and troubleshoot data pipeline issues and ensure timely resolution.
- Design, develop, and maintain robust Power BI Dashboard, Apps, ETL/ELT pipelines using tools like Informatica, Apache Spark, or Azure Data Factory.
- Work with structured and unstructured data across cloud (Azure/AWS/GCP) and on-prem systems.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Optimize data workflows for performance and scalability.
- Implement data governance and security best practices.
- Monitor and troubleshoot data pipeline issues and ensure timely resolution.
At Daimler Truck, we promote diversity and foster an inclusive corporate culture. We value the individual strengths of our employees, as these lead to the best team performance and thus to the success of our company.
Inclusion and Equal opportunities are important to us – regardless of where you come from and who you are. We look forward to receiving applications from people of all cultures and genders, parents, people with disabilities and people from the LGBTIQ+ community.
