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 6 years of relevant professional 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

Management and use of Big Data technologies and environments on the Digital Platform

Application of data-related policies for data flows, data storage, and data processing on the Schaeffler Digital Platform

Creation of professional documents in English (oral/written)

Your Qualifications

Your Profile Successfully completed studies in Computer Science or similar courses of study

At least three years of relevant professional experience

Good understanding of Cloud Computing principles and technology

Experience with integration of data from multiple data sources and IT systems, e.g., ERP/SAP, DWH/SAP-BW, Web Services, CRM/Salesforce, MES, etc.

Relevant experience working in cloud environments and services;

experience with Microsoft Azure is desirable, e.g., Azure Data Factory, Data Lake, IoT Hub, Databricks, etc.

Basic programming experience in Java and/or Python;

experience with software development is a plus

Experience in Data Modeling (ER, UML) and SQL

Very good English skills, both spoken and written

• German language skills are advantageous Team player, good analytical and communication skillsAs a global company with employees around the world, it is key 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. www.schaeffler.com/careers Your Contact SCHAEFFLER GLOBAL SERVICES INDIA PVT LTD Rimsha Shaikh +91 20 6819 8407 For technical questions, please contact this email address: [email protected] Keywords: Experienced

• Engineer

• Full-Time

• Unlimited

• Digitalization &

• Information Technology;

📌 Data Eng. (Maharashtra)
🏢 Schaeffler
📍 Maharashtra