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[Bosch R&D - Internship] Data Engineering Intern

Bosch Group · Ho Chi Minh City, Vietnam

About Bosch Group

1,588 open jobs
  • Software & SaaS
  • 10,001+ employees
  • Gerlingen-Schillerhöhe, Baden-Wuerttemberg

Strong hiring record · median 39 days open

100100

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Actively hiring

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  • Still listed on the employer's own board

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[Bosch R&D - Internship] Data Engineering Intern at Bosch Group. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • Designing and implementing data pipelines from multiple sources using Azure Databricks or Hadoop ecosystem.
  • Developing scalable and re-usable frameworks for ingesting of data sets.
  • Integrating end to end data pipeline - to take data from source systems to target data repositories ensuring quality and consistency of data is maintained at all times.
  • Working with event based / streaming / scheduling technologies to ingest and process data.
  • Write python script to process data according to the needs from other engineers.
  • Build dashboard using Power BI or Tableau to fulfill the need from end users.
  • Evaluating the performance and applicability of multiple tools for the automated data pipeline.
  • Involve in application development using low-code platforms such as PowerApps and OutSystems.
  • Involve in AI solution development in the organization focus on building python script for data processing.
  • Undergraduate student majoring in Computer Science, Data Science, Information Technology or any equivalent field with strong foundation in data structure and algorithms.
  • Basic experience in designing, developing, deploying and/or supporting data pipelines using Databricks, Azure, OpenShift, Virtual Machine.
  • Basic experience in building dashboard using Power BI, Tableau.
  • Proficient in programming languages like PySpark and Python.
  • Good understanding of SQL and API.
  • Good at computational problem solving.
  • Knowledge and experience with knowledge graph is a plus.
  • Ability to work independently, proactive, detail-oriented with willingness to learn and apply new technologies.
  • A learning-driven, professional, inclusive multinational work environment fosters personal growth and expands professional networks.
  • An attractive monthly allowance.
  • Hands-on experience in an advanced engineering simulation and product development field.
  • Opportunity to apply technical knowledge skills in a real work.
  • Collaboration with experienced engineers and professionals.

Skills

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