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Data Engineer (m/f/d)
Aktualität: 14.05.2022


14.05.2022, Schaeffler Technologies AG & Co. KG
Data Engineer (m/f/d)
Design, govern, build, and operate solutions for large-scale data architectures and applications across businesses and functions Select, manage, work hands-on with Big Data tools and frameworks, and implement ETL tools and processes as well as data virtualization and federation services Administration and ongoing automation of numerous operational processes based on DevOps technologies such as GitHub, Jenkins and relevant cloud services Engineer data integration pipelines and reusable data services using cross-functional data models and data integration solutions Define and implement policies for data ingestion, retention, lineage, access, data service API management and usage, in collaboration with Corp. Data Management and IT functions Define, implement and apply data governance policies for all data flows of data architectures with focus on the Digital Platform and Data Lake Member of the agile product team providing customer solutions, and support operational tasks in a hands-on manner
University degree in (Applied) Computer Science/Software Engineering, or akin qualification 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. Knowledge of ETL techniques and frameworks, such as ADF, and PowerCenter Relevant knowledge in working with Cloud environments and services, preferably with Azure Advanced experience in BI environment and tools, preferably in Power BI Experienced in data modeling (ER, UML) and proficiency in SQL as well as expertise with relational databases such as Microsoft SQL Server and Oracle Postgres Thorough understanding of Data Engineering and Data Science Experienced in DevOps (CI/CD, cloud-based), and in agile environments as well as ERP/SAP experience beneficial Fluent in English spoken and written, German is also beneficial At ease interacting with people within and outside of the organization as well as strong analytical skills and ability to focus