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Data Engineer

Plettenberg, Lage, Göttingen Data Vollzeit Unbefristetes Dienstverhältnis m/w/x
Technologien und Skills
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Deine Rolle im Team
  • Creates data ingestion pipeline and processes based on jointly defined requirements
  • Profiles and analyzes data to identify gaps and potential data quality issues; works with business SME's to resolve these issues
  • Identifies relationships between disparate data sources
  • Uses IBA, PI, Python, other data tools and technologies to code the data engineering routines
  • Designs and develops the data engineering routines for feature extraction, feature generation and feature engineering that the relevant to the manufacturing businesses
  • Works with the group of data scientists and business SMEs to get the requirements and present the details in data
  • Designs and jointly develops the data architecture with data architect and ensures security and maintenance
  • Explores suitable options, designs, and creates data pipeline (data lake/data warehouses) for specific analytical solutions
  • Identifies gaps and implements solutions for data security, quality and automation of processes
  • Builds data tools and products for effort automation and easy data accessibility
  • Supports maintenance, bug fixing and performance analysis along data pipeline
  • Diagnoses existing architecture and data maturity and identifies gaps
  • Gather requirements, assess gaps and build roadmaps and architectures to help the analytics driven organization achieve its goals
Unsere Erwartungen an dich

Qualifikationen

  • Understanding of the manufacturing processes related to metal rolling and re-melt, and ability to associate data to the manufacturing processes
  • Self-sufficient and can run projects on own
  • Very good German and English language skills
  • Strong critical thinking and problem solving skills
  • Success at working on cross-functional teams to meet a common goal
  • Self-starter with a high sense of urgency

Erfahrung

  • At least 8 years of experience in data engineering in time-series data using historians
  • Deep experience in working on time-series/historians such as IBA and PI etc.
  • Python and/or Spark experience required
  • Previous leadership experience
  • Experience on Big Data platforms (e.g. Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc.
  • Experience in SQL, PL/SQL or T-SQL with RDBMSs like MS SQL Server, Oracle etc. in production environments
  • Experience with reporting and BI packages e.g. PowerBI, Tableau, SAP BO etc.

Ausbildung

  • Bachelor's Degree in Computer Science, Engineering, and/or background in Mathematic and Statistics; Master's or other advanced degree a plus
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Quellen Information

Job: Data Engineer (m/f/d)

Seite: stepstone.de

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