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Schaeffler Technologies AG & Co. KG


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Data Engineer (m/f/d) Remote Option
Aktualität: 05.10.2022


05.10.2022, Schaeffler Technologies AG & Co. KG
Data Engineer (m/f/d) Remote Option
Design and operationalize data solutions for large-scale data architectures across business and functions Design and develop conceptual and semantic data models for integrating, exploring and retrieving data from heterogeneous data sources and IT systems Development, customization and monitoring of ETL processes, data transformations, data flows and service APIs using latest cloud platform Identify and evaluate interfaces for continuous improvement of data acquisition process Design and implement reusable data integration pipelines and services using cross-functional data models and data integrating solutions Identify and implement potential improvements in the enterprise data platform (SDP) Define and implement data ingestion, retention, lineage and access policies Working in interdisciplinary, cross-functional teams according to agile methodology Closely collaborate with use case specific projects, data architects, DevOps engineers across teams Ensure quality deliverables by conducting regular peer reviews and knowledge sharing sessions within the product team as well as across teams
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field and relevant professional experience in this field Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience building and optimizing 'big data' data pipelines, architectures and data sets as well as performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Practice supporting and working with cross-functional teams in a dynamic environment Expertise in big data technologies such as Hadoop, Spark , Synapse etc. Experience with programming languages such as Python/Java and with Cloud Solutions and technologies such as MS AZURE, Azure Data factory, Azure Data Lake, Azure Event Hub, Azure IoT Hub, Databricks/Synapse, etc. Know-how with relational SQL and NoSQL databases such as Microsoft SQL Server, Postgres, MongoDB, Cassandra etc. Knowledge or experience in stream-processing systems such as Spark streaming, IoT, Event hub, Azure stream analytics is a plus Fluent in English spoken and written, German is also beneficial Experience in agile environments, combined with profound agile mindset and corresponding experience in daily work




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