[Bosch R&D - Internship] Data Engineering Intern

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.