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Process Optimization Specialist

2 weeks ago

Butterworth, Penang, Malaysia D-SIMLAB Technologies Full time

About D-SIMLAB Technologies

We are a leading provider of Digital Twin Solutions for Semiconductor Manufacturing with offices in Singapore, Germany, and China.

As we expand into Malaysia, we are seeking talented professionals to join our team and contribute to driving business growth through data-driven insights and optimized semiconductor manufacturing processes.

Job Description: Data Engineer

As a Data Engineer at D-SIMLAB Technologies, you will play a key role in developing and deploying software products, providing professional consultation services, and collaborating with cross-functional teams to drive business results.

Data Extraction and Analysis:

  • Develop robust data pipelines to extract, transform, and load data from various sources.
  • Apply statistical methods and data mining techniques to uncover valuable insights and drive business decisions.

Performance Evaluation:

  • Conduct thorough performance evaluations to identify areas for improvement.
  • Develop and implement data-driven strategies to enhance production efficiency.

Data-Driven Insights:

  • Deliver actionable insights based on data analysis to inform business decisions.
  • Foster strong relationships with clients to understand their specific needs and provide tailored solutions.

ETL and Data Modeling:

  • Design and implement efficient ETL processes to integrate data from multiple sources.
  • Collaborate with cross-functional teams to ensure seamless data flow and accurate insights.

Candidate Requirements:

  • Education: Bachelor's/Master's degree in Data Science, Computer Science, Industrial Engineering, or a related field.
  • Experience: Proven track record in data analysis, preferably in an industrial environment.
  • Technical Skills: Proficiency in SQL, Microsoft Excel, and data visualization tools (e.g., Power BI, Tableau).
  • Strong analytical and problem-solving skills, with the ability to handle large datasets and deliver actionable insights.
  • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.