[Bosch R&D - Internship] Data Engineering Intern

  • Full-time
  • Legal Entity: Bosch Vietnam Co., Ltd.

Company Description

Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture push belt for continuously variable transmissions (CVT) in automobiles. In addition, Bosch operates a software and engineering solutions from product engineering, tool development & automation as well as testing & validation solutions (Bosch Global Software Technologies Vietnam).

In July 2014, Bosch set up a new Automotive R&D Center, located in Ho Chi Minh City. The continuous growth of this Centre is in line with Bosch’s strategy in Vietnam, which aims at becoming a manufacturing and R&D hub in the Southeast Asian region. Currently four products are available: connectors, push belt, fuel supply, and diagnosis module (tank leakage).

For further information, please visit our website: www.bosch.com.vn

Job Description

  • 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.

Qualifications

  • 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.

Additional Information

  • 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.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

Privacy NoticeImprint