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
Data Engineering includes the collection, modeling, storage, processing, and analysis of extremely large (e.g., social media), rapidly changing (e.g., sensor data), and complex (e.g., ecological systems) data sets. ETL: Extract, Transform, Load (data). Data sets can trigger and/or affect all information processes in the business. The term "complex" refers to the massive, interconnected, and dynamic nature of the data sets to be analyzed
Key Responsibilities

At least 8 years of relevant skilled experience in this field.
Support in the design, implementation, and maintenance of data integration pipelines and reusable data services (ETL processes = Extract, Transform, Load processes)




Implementation of operational database structures, optimized views, and aggregations of data from multiple data sources and IT systems (including the use of data virtualization technologies)
Support in the design and implementation of solution-oriented data integration and provisioning architectures for data-driven business applications in AAM
Cooperation with IT functions and business departments for data connection and data provisioning
Documentation of various data integration pipelines, data architectures, and other reusable components
Ensuring data quality through the development and maintenance of automated control measures
Participation in interdisciplinary teams using agile methodologies, and taking on Data Engineering responsibilities for designing and implementing data pipelines as part of cross-functional, use-case-specific solution architectures to be coordinated with IT Solution Architects
Mana

📌 Sr Data Eng. (India)
🏢 Schaeffler
📍 India