Expertise in on-premise based end to end pipeline development for engineering use cases. This includes development of data generation pipelines, data processing pipelines based on use case requirements and gateway creation for connection to visualization tools.
Expertise in cloud-based end to end CI/CD pipeline development for engineering use cases.
Proficiency and practical experience in applying machine learning based advanced methodologies to automotive use cases.
- Development and management of data pipelines .
- Development of analytics dashboard for KPI defined by system owners.
- Supporting system engineer to develop analytics dashboard via python scripting.
- Software release validation with respect to new batch update and its correlation with current output.
- Automation of test case for release validation in periodic basis.
- Managing the IT backend of Data connect and data analytics and supporting with troubleshooting etc.
- Bug fixing in the pipeline and coordination with Infosys for fixing the same.
- Identification of ML/GenAI use case with focus on increasing the efficiency of the system and team.
- End to end documentation guide creation for the process.
- Minimum Qualification: B.E, B.Tech (Mechanical, Electrical, Computer Science or any related field)
- Additional Diploma in Data Science or any related field is highly preferrable.
- Handson python & pyspark skill set.
- Good knowhow of IT infrastructure system.
- Awareness of Linux.
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.
