[Bosch R&D - Internship] Data Engineering Intern

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 pushbelt for continuously variable transmissions (CVT) in automobiles. In addition, Bosch operates a software and engineering R&D center (Robert Bosch Engineering and Business Solutions Vietnam Co., Ltd).
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, pushbelt, fuel supply, and diagnosis module (tank leakage).
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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.