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Company Description

Bosch has been present in Malaysia since 1923, represented by Robert Bosch Sdn Bhd. Bosch Malaysia is part of the Bosch Group, a leading global supplier of technology and services. The Bosch Group’s strategic objective is to deliver innovations for a connected life. In 2020, Bosch Malaysia generated consolidated sales of RM 518.4 million (108.1 million euros), and currently employs more than 4,000 associates.

PgP5 Plant is Bosch Group’s newest expansion in Malaysia a semiconductor test site in Batu Kawan Penang. With the long-term forecasts for growth of semiconductor component quantities, coupled with the front-end production in Bosch’s Dresden facility in Germany, capacity expansion is required for the back-end production, which is the final testing phase of semiconductors and sensors.

Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life”.

Job Description

Manufacturing IT are responsible for the planning, installation, maintenance and improvement of the Manufacturing Information Technology, Digitalization and Data Warehouse of our Semiconductor Testing facility in Penang (PgP5). We are also responsible for the coordination and implementation of the IT security, Data Security and the Enterprise IT of the facility.

  • Being part of the Data Engineering team to establish and sustain an efficient Data Warehouse & Data Integration for Data Analytics for our Final Test facility in Penang.
  • Working closely with our counterparts from both locally and internationally to build and manage Data Pipeline and ensuring high Data quality for Data Analysis and continuous improvement.
  • Perform evaluation on the data by using deep IT knowledge and contribute to improve Data Engineering quality, accuracy, reliability and stability.
  • Responsible for installation, maintenance and improvement of the Data Warehouse, ETL, software components, digitalization and visualization of reports, conducting approval processes and adapting existing processes to functional needs of the new facility.
  • Ensure the data are handled securely according to Bosch Data Security requirements.
  • Provide excellent IT solutions to our internal customers to support Lean Manufacturing and Lean Management.
  • Support the reporting of data and visualization of data to Headquarter and Plant Management.
  • Involved in the Bosch Semiconductor Organization IPN for Data Management and Data Engineering as well as in technology transfers from other semiconductor plants and will provide training and technical guidance on Data Engineering and data related issues.
  • Supports the training and coaching of team members in field of Data Engineering and Data Warehouse.

Qualifications

Personality:

Motivated, strong in communication, cooperative in working with colleagues and external parties, assertive personality, ready to travel on occasional business trips.

Working Style:

Able to work independently and be good team player, result- and quality-oriented and reliable.

Experience and Knowledge:

Profound knowledge with relevant practical experience in the field of Data Engineering as well as semiconductor industry experience of at least 3 years; very good knowledge in office applications as well as problem solving techniques and quality methods.; basic technical leadership experience is desired. Ability to design and build data pipelines, data warehouse & data marts. (e.g. ETL tools experience (abinitio, or informatica, datastage, SSIS)). Proficiency in RDBMS (Oracle, SQL Server), complex SQL,

PL/SQL, Unix scripting, performance tuning and troubleshooting. Provide resolution to a real time and complicated data pipeline related problem, experience in optimizing SQL queries.

Enthusiasm:

Interdisciplinary thinking and interest in Leading Edge Semiconductor technology.

Languages:

Good proficiency in English language.

Education:

Bachelor Degree or Master Degree in Information Technology or Computer Engineering or any comparable studies on IT and Data Analytics.

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Confirmed 17 hours ago. Posted 30+ days ago.

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