Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
Your Key Responsibilities - Develop data pipelines and applies methods and tools to collect, store, process and analyze complex data sets, globally for assigned operations or functions.
- Design, govern, build and operate solutions for largescale data architectures and applications across businesses and functions.
- Select, manage and work handson with big data tools and frameworks, and implement ETL (extract, transform, load) tools and processes as well as data virtualization and federation services.
- Engineer data integration pipelines and reusable data services using crossfunctional data models, semantic technologies and data integration solutions.
- Define, implement and apply data governance policies for all data flows of data architectures with focus on the digital platform and data lake.
- Define and implement policies for data ingestion, retention, lineage, access, data service API management and usage, in collaboration with data management and IT functions.
Your Qualifications - Graduate Degree in Computer Science, Applied Computer Science, Software Engineering
- 3 to 5 years
As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
Schaeffler Technology Solutions India Pvt. Ltd.
For technical questions, please contact this email address: technicalrecruitingsupportAP@schaeffler.com
Keywords: Experienced; Engineer; FullTime; Unlimited; Digitalization & Information Technology; None
- Develop data pipelines and applies methods and tools to collect, store, process and analyze complex data sets, globally for assigned operations or functions.
- Design, govern, build and operate solutions for largescale data architectures and applications across businesses and functions.
- Select, manage and work handson with big data tools and frameworks, and implement ETL (extract, transform, load) tools and processes as well as data virtualization and federation services.
- Engineer data integration pipelines and reusable data services using crossfunctional data models, semantic technologies and data integration solutions.
- Define, implement and apply data governance policies for all data flows of data architectures with focus on the digital platform and data lake.
- Define and implement policies for data ingestion, retention, lineage, access, data service API management and usage, in collaboration with data management and IT functions.
- Graduate Degree in Computer Science, Applied Computer Science, Software Engineering
- 3 to 5 years
As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
Schaeffler Technology Solutions India Pvt. Ltd.
For technical questions, please contact this email address: technicalrecruitingsupportAP@schaeffler.com
Keywords: Experienced; Engineer; FullTime; Unlimited; Digitalization & Information Technology; None
Your Qualifications
