Data Engineer Digital Twin (m/f/d)

  • Schaeffler Technologies AG & Co. KG
  • Nürnberg, Germany
  • 11/09/2021
Full time Data Science Data Engineering Data Analytics Big Data Data Management Statistics

Job Description

Your Key Responsibilities

  • 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
  • Engineer data integration pipelines and reusable data services using cross-functional 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 as well as for data ingestion, retention, lineage, access, data service API management and usage, in collaboration with Corporate Data Management and IT functions
  • Close cooperation with data architects, DevOps engineers, and data analysts
  • Coaching and mentoring of colleagues in same or similar roles

Your Qualifications

  • University degree in (Applied) Computer Science/Software Engineering, or comparable relevant practical and/or theoretic qualifications
  • Multianual experience with integration of data from multiple data sources and IT systems, e. g. ERP/SAP, DWH/SAP-BW, Web Services, CRM/Salesforce
  • Relevant sound knowledge in working with Cloud environments and services, especially with Microsoft Azure, e. g. Azure Data Factory, Data Lake etc.
  • Practice in data modeling (ER, UML) and proficiency in SQL
  • Experience with relational databases such as Microsoft SQL Server and Oracle Postgres as well as experience with NoSQL databases such as MongoDB, Cassandra, InfluxDB and Stardog
  • Knowledge of ETL techniques and frameworks, such as ADF, PowerCenter, NIFI, Sqoop
  • Strong programming skills in Java and/or Python, Software development experience
  • Fluent in English spoken and written, German is also beneficial
  • Strong analytical skills and ability to focus

Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to getting to know you.Please note that applications via some mobile devices may not be possible.

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