Hybrid Data Engineer – English speaking

Posted 2 weeks ago

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About the role

  • Design, develop, optimize, and maintain data architecture
  • Design and maintain ingestion of multiple data sources
  • Analyze, manipulate, transform, and process large and complex datasets
  • Enable training and running machine learning models
  • Building real-time data pipelines
  • Help customers to become cloud-native and data-driven companies
  • Support your team with active knowledge transfer
  • Be part of and influence the introduction of new tools, methodologies, and techniques
  • Work in an agile environment and cross cross-functional team

Requirements

  • 3 years of experience as a Data Engineer
  • 2 years of experience in either Python or Scala and SQL
  • Bachelor in Computer Science, Data Science, Data Engineering, or a relevant subject
  • Experience in semantic modelling of complex data landscapes
  • Familiar with concepts of Data Lake, Data Warehouse, Data Vault, and Data Mart
  • Deep understanding of various data stores
  • Comfortable working with analytics processing engines (i.e. Spark, Flink)
  • Experience with different storage formats (i.e. JSON, Parquet, ORC)
  • Fluent in English

Benefits

  • flexible work arrangements

Job title

Data Engineer – English speaking

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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