Data Engineer (m/w/d)

  • Langen
  • Eingestellt: 6. Mai 2021
  • Bewerbungsschluss: 6. Mai 2022
    Jobbeschreibung:

    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.

    Data Engineer (m/w/d)

    Referenzcode: DE-X-LGN-21-02067
    Standort(e): Langen

    • Design and implement large-scale data solutions using Big Data and Cloud technologies
    • Design and develop conceptual data models for integrating, exploring and retrieving data from heterogeneous data sources and IT systems
    • Implement and manage ETL processes, data transformations, data flows and service APIs
    • Work with data virtualization, integration, and analytics technologies on our data platform
    • Implement optimized data representations (views) and aggregations from multiple data sources
    • Define and implement data ingestion, retention, lineage and access policies
    • Define and implement data service API management and usage policies
    • Define and implement data and data service catalog functionalities
    • Work in interdisciplinary, cross-functional teams according to agile methodology
    • Closely collaborate with business, digitalization and IT functions

    • Successfully completed studies in Computer Science or related fields
    • Proficient understanding of distributed and Cloud computing principles and technologies
    • 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 knowledge in working with Cloud environments and services, preferably with Microsoft Azure, e.g. Azure Data Factory, Data Lake, IoT Hub, Databricks, etc.
    • Strong programming skills in Java and/or Python; Software development experience is a plus
    • Experience 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, Stardog
    • Knowledge of ETL techniques and frameworks, such as ADF, PowerCenter, NiFi, Sqoop
    • Experience with Hadoop Ecosystem (Spark, HDFS, Hive, HBase), Containers (Docker, Kubernetes) and Distributed Messaging Platforms (Kafka, NATS.io) is a plus
    • Fluent in English spoken and written, German is beneficial

    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.

    Data Engineer (m/w/d)

    Referenzcode: DE-X-LGN-21-02067
    Standort(e): Langen

    • Design and implement large-scale data solutions using Big Data and Cloud technologies
    • Design and develop conceptual data models for integrating, exploring and retrieving data from heterogeneous data sources and IT systems
    • Implement and manage ETL processes, data transformations, data flows and service APIs
    • Work with data virtualization, integration, and analytics technologies on our data platform
    • Implement optimized data representations (views) and aggregations from multiple data sources
    • Define and implement data ingestion, retention, lineage and access policies
    • Define and implement data service API management and usage policies
    • Define and implement data and data service catalog functionalities
    • Work in interdisciplinary, cross-functional teams according to agile methodology
    • Closely collaborate with business, digitalization and IT functions

    • Successfully completed studies in Computer Science or related fields
    • Proficient understanding of distributed and Cloud computing principles and technologies
    • 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 knowledge in working with Cloud environments and services, preferably with Microsoft Azure, e.g. Azure Data Factory, Data Lake, IoT Hub, Databricks, etc.
    • Strong programming skills in Java and/or Python; Software development experience is a plus
    • Experience 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, Stardog
    • Knowledge of ETL techniques and frameworks, such as ADF, PowerCenter, NiFi, Sqoop
    • Experience with Hadoop Ecosystem (Spark, HDFS, Hive, HBase), Containers (Docker, Kubernetes) and Distributed Messaging Platforms (Kafka, NATS.io) is a plus
    • Fluent in English spoken and written, German is beneficial