Data Engineer

D-SIMLAB TECHNOLOGIES PTE. LTD.

Singapore

Presencial

SGD 65 000 - 110 000

Tempo integral

Há 2 dias
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Resumo da oferta

D-SIMLAB Technologies Pte. Ltd. is seeking a Data Engineer to derive insights from large datasets to optimize semiconductor manufacturing processes.

You will extract data, analyze patterns, and deliver actionable recommendations while collaborating with software and analytics teams. Responsibilities include building ETL pipelines, developing data models, and creating dashboards (Power BI/Tableau) to communicate findings.

Qualificações

  • Bachelor's or master's in Data Science, Industrial Engineering, or related field.
  • Minimum 3 years' experience in data analysis, preferably in an industrial setting.
  • Experience with SQL and Excel required.
  • Experience with Power BI or Tableau desirable.
  • Knowledge of ETL processes and database management.
  • Willing to travel for international projects.

Responsabilidades

  • Data Extraction and Analysis: Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  • Performance Evaluation: Analyze gaps between planned and actual production outcomes and recommend data-driven strategies for process improvement.
  • Data-Driven Insights: Provide actionable insights to optimize semiconductor manufacturing processes and translate findings for clients and internal teams.
  • ETL and Data Modeling: Build and maintain ETL processes to integrate data from various sources into data models; collaborate with simulation teams.
  • Consultation Services: Act as a trusted advisor by offering data-driven recommendations and presenting analyses to technical and non-technical stakeholders.
  • Data Visualization and Reporting: Create dashboards and reports using advanced tools to communicate key insights and trends; improve real-time reporting for ongoing optimization.
  • Collaboration with Teams: Work with Software Engineers, Data Scientists, and cross-functional teams to align data insights with product goals and customer needs.

Conhecimentos

Analytical skills
Communication & presentation
Team collaboration

Formação académica

Bachelor's/Master's degree in Data Science, Industrial Engineering, or a related field

Ferramentas

SQL
Microsoft Excel
Power BI
Tableau
ETL tools
Database management

Descrição da oferta de emprego

Job Description: Data Engineer

As a Data Engineer at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB's software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities :
Data Extraction and Analysis :
  • Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  • Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
Performance Evaluation :
  • Analyze the gap between planned and actual production outcomes.
  • Identify root causes for performance deviations and recommend data-driven strategies for process improvement.
  • Develop reports and visualizations to present findings to clients and internal stakeholders.
Data-Driven Insights :
  • Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes.
  • Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
ETL and Data Modeling :
  • Build and maintain ETL processes to integrate data from various sources into D-SIMLAB's data models.
  • Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
Consultation Services :
  • Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency.
  • Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
Data Visualization and Reporting :
  • Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively.
  • Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
Collaboration with Teams :
  • Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs.
  • Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.
Candidate Requirements :
Education :
  • Bachelor's/Master's degree in Data Science, Industrial Engineering, or a related field.
Experience :
  • Strong analytical skills with a minimum of 3 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
Technical Skills :
  • Proficiency in SQL and Microsoft Excel.
  • Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  • Experience with ETL processes and database management.
Analytical Abilities :
  • Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
Soft Skills :
  • Ability to work collaboratively in a multicultural, multidisciplinary team.
  • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
Willingness to Travel :
  • Willing to travel for international projects and collaborate closely with clients and internal teams.

Please ensure your profile on the portal is updated with your job experience and education as these fields are being used for the purpose of filtering and shortlisting.

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