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Senior Data Engineer
Robert Bosch Group
Batu Kawan
Sur place
MYR 60 000 - 90 000
Plein temps
Il y a 30+ jours

Résumé du poste

A leading global technology supplier in Malaysia is looking for a Data Engineer to join their team in Penang. You will be responsible for managing the Data Warehouse and ensuring high data quality for analytics. The ideal candidate has a degree in IT or Computer Engineering, at least 3 years of experience in Data Engineering, and strong problem-solving skills. Excellent communication and teamwork abilities are crucial for collaborating with local and international stakeholders.

Prestations

Annual Leave
Medical Leave

Qualifications

  • At least 3 years experience in Data Engineering, preferably in the semiconductor industry.
  • Strong in communication and cooperative with team members.
  • Proficient in SQL and data pipeline design.

Responsabilités

  • Establish and manage Data Warehouse for analytics in Penang.
  • Build and manage Data Pipeline to ensure data quality.
  • Install and maintain ETL and software components.

Connaissances

Data Engineering
Data Analytics
Problem-solving
Communication
Teamwork

Formation

Bachelor or Master's Degree in IT or Computer Engineering

Outils

SQL
ETL tools (e.g. Ab Initio, Informatica, DataStage, SSIS)
RDBMS (Oracle, SQL Server)
Description du poste
Company Description

Bosch has been present in Malaysia since 1923, represented by Robert Bosch Sdn Bhd. In Malaysia, Bosch is active in four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. The company has three manufacturing sites and research and development offices in Penang, producing automotive electronics, power tools and steering systems, and soon a fourth plant with a final testing centre for sensors and semiconductors. 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. The construction has begun in May 2021 and first series of production to commence in 2023. 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. PgP5 will primarily focus on the final testing of components manufactured at Bosch Automotive Electronics’ fab in Dresden, Germany. The plant will also house R&D and training facilities.

Bosch in Malaysia is a 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. 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
  • 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
  • Education: Bachelor Degree or Master Degree in Information Technology or Computer Engineering or any comparable studies on IT and Data Analytics.
  • 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.
Additional Information
  • Leave Entitlement e.g: Annual Leave, Medical Leave and etc
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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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