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