86 Etl Architect jobs in Singapore

JOB DESCRIPTION
Job Summary
hELIOS is the Life & Health (LÃ ̈) administration platform designed to manage individual-level data. The hELIOS solution is built around three core pillars:
Business Administration: Enhancing and simplifying treaty administration processes, including bordereaux management, claims referrals, and medical underwriting.
Operational Efficiency: Delivering a seamless user experience through streamlined workflows, system integration, and automated data processing
Data Centricity: Providing accessible, standardized, and accurate data to support decision-making and drive business value in areas such as knowledge management, modeling, and experience analysis.
By the strategic plan “Forward 2026” horizon, hELIOS aims to be deployed across all markets—excluding the US and China—for the administration of assumed and retrocession premiums and claims. Key focus areas for the coming years include:
Continuing the rollout of existing hELIOS functionalities (Portal, Life Admin Bordereaux, Referrals) across LÃ ̈ markets, with a focus on Canada, ANZ and France.
Expanding and stabilizing claims verification functionalities, integrated with Life Admin Bordereaux management.
Enhancing data and reporting capabilities.
Implementing retrocession administration functionalities.
To support this strategic vision, the hELIOS Business Competency Centre (hBCC) is seeking a LÃ ̈ Data Integration Analyst based in Singapore.
This role will be responsible for supporting business users on treaty onboarding, data maintenance and data usage activities, in coordination with hBCC team members in other regions (Paris, London, Sydney).
RESPONSIBILITIES
Key duties and responsibilities
The LÃ ̈ Data Integration analyst maintain a pro-active relationship with hBCC internal clients (client administrator, actuarial staff, etc.) and is responsible for the following activities:
Treaty onboarding and maintenance
Analyze resinsurance treaties, product literature and policy data to configure the “reinsurance plans” (products, benefits, controls) in the hELIOS platform.
Examine client data (premium and claims bordereaux) to understand its structure and behaviour in the context of policy/claims processing and downstream usage in the Administration platform.
Define or review mappings document that specify how the bordereaux data should be transformed and mapped to the hELIOS standard format.
Develop solutions to process suboptimal cleint data, addressing issues relate to quality or completness.
Create, maintain and validate “packages” for automating client data recognition, data structureing and data transformations – primarily using a bespoke self-service data transformation tool (Data Engineering), or potentially a programming language such as Python.
Build strong cross-functional relationships with other teams to deepen understanding of data and transofmation requirements.
Business support
Assist end-users (e.g. Technical Accountants) in investigating data discrepancies identified during bordereaux processing, such as mismatches between premium bordereaux and statement of account figures.
Analyze root causes, collaborate on reconciliation efforts, and recommend corrective actions, including updates to data transformation packages to ensure data accuracy and integrity.
Data Analysis and reporting
Support ad hoc analysis or reporting using SCOR’s data platform including Databricks and Palantir Foundry.
Develop an in-depth expertise in the hELIOS data model. Actively contribute to knowledge sharing across teams. This includes understanding the structure, relationships, and business logic embedded in the model, and effectively communicating insights to support data-driven decision-making, system integration, and continuous improvement initiatives.
QUALIFICATIONS
Experience:
5+ years in Life Reinsurance or Insurance, with a focus on operations or back-office functions.
Strong understanding of life insurance products and data transformation processes.
Technical skills:
Proficiency in data analysis and transformation.
Familiarity with SQL, Python, Palantir Foundry, Databricks, and VBA (preferred).
Soft skills:
Strong analytical and problem-solving abilities.
Excellent communication and interpersonal skills.
Proactive, independent, and detail-oriented.
Team-oriented with a customer-focused mindset.
Adaptable to changing priorities and conditions.
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Historian Application Expert (Data Integration/ Aspen / Pharma)
Historian Application Expert (Data Integration/ Aspen / MES / Pharma)
12 Months Contract
Location: Tuas
Up to $9,000 depending on experience
Industry: Pharmaceutical
Our client aims at creating a new manufacturing concept consisting of a new generation of evolutive multi-product facilities, modular, adaptable, and agile, leveraging new disruptive technologies, to better address vaccine business challenges
Responsibilities:
Define and support equipment interfacing to enable contextualized data acquisition (APRM), including Alarm & Event and Audit Trail data.
Develop and optimize SQL queries to extract and manage relevant data.
Collaborate on Plug & Produce (P&P) investigations and design efforts for seamless integration between MES and Historian systems.
Review and approve technical specifications for system interfaces.
Provide support for test case execution and perform teat case activities as required, ensuring system readiness and compliance with defined requirements.
Act as a liaison between Digital and other cross function team (Automation, MES and MSAT) as well as Global Teams to support and troubleshoot for application-related incidents, ensuring timely resolution and effective communication.
Diagnose and resolve issues related to data acquisition and interface connectivity between MES, PLC, DCS, and Historian systems.
Monitor application performance and availability to ensure continuous operation of the Historian system.
Conduct routine maintenance tasks including log reviews, job monitoring, and system health checks.
Ensure robust backup and recovery procedures are in place and regularly tested.
Participate in Historian upgrade activities, including impact assessments to evaluate risks, dependencies, and validation requirements.
Requirements:
Proficient in both Waterfall and Agile project methodologies
Deep expertise in deploying and configuring Aspen Historian Suite, including Aspen IP.21, Aspen Production Record Manager (APRM), Event21, CIM-IO, Batch Extractor and Aspen SQL +
Skilled in configuring Kepware, including driver setup for protocol transaction and data aggregation
Experienced working in pharmaceutical manufacturing environments
Proven experience integrating with a wide range of automation and control systems:
DCS systems such as Emerson DeltaV
SCADA platforms including WinCC and Wonderware
PLCs, benchtop instruments, and other lab/manufacturing equipment
Database: MySQL, Microsoft SQL Server, Oracle
Data and Industrial Protocols: ODBC, FTP, MQTT, OPC-UA, OPC-DA, Modbus
Scripting & Automation: PowerShell scripting for automation and data handling
Infrastructure Knowledge: In-depth understanding of networking principles and operating systems (Windows/Linux)
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MES & Data Integration Specialist (Pharma / PLC/ Aspen Historian)
12 Months Contract
Location: Tuas
Up to $8,000 depending on experience
Industry: Pharmaceutical
Our client aims at creating a new manufacturing concept consisting of a new generation of evolutive multi-product facilities, modular, adaptable, and agile, leveraging new disruptive technologies, to better address vaccine business challenges
Responsibilities:
Define and support equipment interfacing to enable contextualized data acquisition (APRM), including Alarm & Event and Audit Trail data.
Develop and optimize SQL queries to extract and manage relevant data.
Collaborate on Plug & Produce (P&P) investigations and design efforts for seamless integration between MES and Historian systems.
Review and approve technical specifications for system interfaces.
Provide support for test case execution and perform test case activities as required, ensuring system readiness and compliance with defined requirements.
Act as a liaison between Digital and other cross function team (Automation, MES and MSAT) as well as Global Teams to support and troubleshoot for application-related incidents, ensuring timely resolution and effective communication.
Diagnose and resolve issues related to data acquisition and interface connectivity between MES, PLC, DCS, and Historian systems.
Monitor application performance and availability to ensure continuous operation of the Historian system.
Conduct routine maintenance tasks including log reviews, job monitoring, and system health checks.
Ensure robust backup and recovery procedures are in place and regularly tested.
Participate in Historian upgrade activities, including impact assessments to evaluate risks, dependencies, and validation requirements.
Requirements:
Proficient in both Waterfall and Agile project methodologies
Deep expertise in deploying and configuring Aspen Historian Suite, including Aspen IP.21, Aspen Production Record Manager (APRM), Event21, CIM-IO, Batch Extractor and Aspen SQL +
Skilled in configuring Kepware, including driver setup for protocol transaction and data aggregation
Experienced working in pharmaceutical manufacturing environments
Proven experience integrating with a wide range of automation and control systems:
DCS systems such as Emerson DeltaV
SCADA platforms including WinCC and Wonderware
PLCs, benchtop instruments, and other lab/manufacturing equipment
Technical Proficiencies
Database: MySQL, Microsoft SQL Server, Oracle
Data and Industrial Protocols: ODBC, FTP, MQTT, OPC-UA, OPC-DA, Modbus
Scripting & Automation: PowerShell scripting for automation and data handling
Infrastructure Knowledge: In-depth understanding of networking principles and operating systems (Windows/Linux)
We are an equal opportunities employer.
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Backend Software Engineer, (Data Integration) - 2025 Start
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Backend Software Engineer, (Data Integration) - 2025 Start
role at
TikTok
Backend Software Engineer, (Data Integration) - 2025 Start
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Backend Software Engineer, (Data Integration) - 2025 Start
role at
TikTok
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Responsibilities
About Tiktok
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About The Team
The Data Management Suite team is building products that cover the whole lifecycle of data pipeline, including data ingestion and Integration, data development, data catalog, data security and data governance. These products support various businesses, so data engineers and data scientists could greatly boost their productivity.
As a software engineer in the data management suite team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on core systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
Responsible for the design and development of the computing architecture of data integration , and support
data integration requirements delivery across different business lines in whole ByteDance;
Work closely with partner teams across the company and all over the world;
Optimize the performance and stability of real-time data integration services;
Participate in the customization and improvement of the Flink kernel, and maintain cooperation with the open source community
Qualifications
Minimum Qualifications:
Final year or recent graduate with a background in Computer Science or equivalent practical experience;
Preferred Qualifications:
Be familiar with web frameworks will be a plus, like Spring boot etc.
Some experience in Storm/SparkStreaming/Flink real-time computation and development experience, to the community contribution patch is preferred ;
Some experience in data platform related product development or big data technologies (such as Flink, Clickhouse, kafka etc.) will be a plus;
Some experience in at least one backend language, like Java, Scala, Go etc;
Some experience in software development, and with data structures/algorithms;
Some experience with design and architecture, and testing and launching software products;
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:
If you have any questions, please reach out to us at
Seniority level
Seniority level Internship
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Entertainment Providers
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About us
AL/ML and data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at an unprecedented scale. The Research Data Integration group in the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the hypotheses and findings of biologists and clinicians. One of our immediate challenges is to analyze, integrate and analyze multi omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore in the areas of cancer, metabolic, eye and skin diseases. We seek motivated individuals to join us to push the potential of biomedical data in driving biological discoveries and create translational impact that benefits patients. Position summary
We are seeking a highly motivated Computational Scientist with expertise in artificial intelligence, multi omics data integration, and metabolic disease biology. The successful candidate will play a critical role in developing AI/ML frameworks to integrate and analyze high dimensional biological datasets (e.g., genomics, transcriptomics, proteomics, imaging) with clinical data to identify novel mechanisms, biomarkers, and therapeutic targets in metabolic diseases such as MASLD/MASH and obesity. This position offer the candidate an opportunity to work closely with a diverse and collaborative team of computational and experimental scientists, and clinicians on cutting edge research at the intersection of AI and human health, and drive translational impact in metabolic diseases.
Key Responsibilities
Develop and implement AI/ML models to analyze and integrate multi omics and clinical datasets related to metabolic disorders.
Collaborate with biologists and clinicians to generate testable hypotheses from integrated datasets, and contribute actively to laboratory validations and screening studies through analytical findings.
Design pipelines for preprocessing, normalization, and harmonization of heterogeneous data types.
Apply and develop novel computational methodologies to uncover disease mechanisms.
Drive biomarker discovery, patient stratification, target identification using machine learning approaches.
Build a database integrating and linking multi dimensional clinical and multi omics data for metabolic diseases.
Develop visualizations and dashboards to communicate complex data insights to interdisciplinary teams.
Stay up to date with emerging computational techniques and tools in systems biology and AI.
Drive high impact scientific publications, patent filings, presentations and grant proposals.
Qualifications
Ph.D. in Computational Biology, Bioinformatics, Computer Science, Data Science, Systems Biology, or a related field.
Strong background in programming and AI/ML (e.g., deep learning, ensemble methods, graph based learning, agentic AI, explainable AI).
Proficiency in programming languages such as Python and R; experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit learn.
Demonstrated experience in integrating and analysing complex multi omics datasets (e.g., RNA seq, WGS, proteomics, GWAS).
Highly experienced with Unix/Linux environment and/or cloud architecture.
Solid understanding of metabolic disease biology and relevant clinical phenotypes.
Experience working with large scale multi dimensional datasets from biobanks, cohorts, or clinical trials.
Track record of peer reviewed publications in computational biology or bioinformatics.
Experience in a cross functional, collaborative environment in academia or industry.
Knowledge in data security, data standards and interoperability, and reproducible research practices.
Strong analytical and problem solving skills, and attention to details.
Excellent oral and written communication and presentation skills.
Able to work independently and work collaboratively in a multi disciplinary team environment.
Competent project and data management, and organizational skills.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
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Overview
We are looking for a
Data Scientist
to join a product team focused on advancing a cutting-edge
Synthetic Data Generation (SDG)
engine. This role sits at the intersection of machine learning, applied research, and software engineering, contributing to a product that enables safe data sharing and analytics across sectors.
Responsibilities
Designing and experimenting with SDG models (e.g., DDPM, ARF, Gaussian Copula).
Diagnosing model failures and improving performance through tuning and architecture refinement.
Collaborating with software engineers to build ML-powered product features (e.g., imputation, constraints handling).
Supporting users by troubleshooting training issues and providing actionable fixes.
Writing clear, user-friendly documentation to explain technical concepts and model behavior.
Working closely with the engineering team to integrate ML models into production systems.
Participating in Agile rituals, code reviews, and design discussions.
Translating research into practical prototypes and contributing to technical strategy.
What Are We Looking For?
We’re seeking a curious and collaborative Data Scientist with:
A Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics, or related field.
2–3 years of hands-on experience in machine learning and data science.
Strong Python programming skills and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
Ability to analyze model behavior, debug training issues, and design experiments.
Experience in backend development (e.g., FastAPI, Flask) and cloud environments (AWS preferred).
Familiarity with Git, CI/CD, and collaborative coding practices.
Ability to read and apply emerging research to real-world problems.
Strong communication skills to explain technical concepts to diverse stakeholders.
A collaborative mindset and willingness to learn new domains, especially in data privacy.
Nice-to-Haves
Experience with privacy-enhancing technologies, synthetic data, or differential privacy.
Familiarity with frontend frameworks (e.g., Next.js/React).
Prior experience in multi-disciplinary product teams.
Additional Information
We regret that only shortlisted candidates will be notified. Thank you.
By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy (
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Science
Industries
Human Resources
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We’re looking for a passionate Data Engineer to join our fast-growing AI-driven data team. You’ll design and maintain scalable data pipelines, integrate with next-gen AI platforms, and collaborate with business teams to drive data-informed decisions.

Responsibilites

• Develop and maintain scalable data pipelines leveraging Python and AWS (S3, Lambda, ECS, RDS, SNS/SQS, Vector DB).
• Build data integrations with AI platforms like AWS Bedrock, Google Gemini, and OpenAI.
• Collaborate with analytics and business stakeholders to refine data models for BI and decision-making.
• Develop and maintain engineering documentation, testing, and best practices.
• Work closely with frontend, backend, and product teams to ensure successful project delivery.

Requirements

• Proven experience in Python and AWS data services (Lambda, ECS, RDS, etc.).
• Familiarity with data modeling, ETL design, and AI integrations (Bedrock, Gemini, or OpenAI models).
• Hands-on with unit/integration testing and data pipeline optimization.
• Strong collaboration and communication skills across technical and business teams.

Principal Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
Join to apply for the
Principal Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
role at
Micron Technology
Principal Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
2 days ago Be among the first 25 applicants
Join to apply for the
Principal Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
role at
Micron Technology
Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a key team member within the HIG HBM Product Engineering Advanced Data Analytics team, you will be spearhead and develop a high-performing team to drive initiatives that significantly enhance yield and quality through advanced data analysis, machine learning, and AI. Your responsibilities will include developing cutting-edge algorithms, creating robust product disposition solutions, and establishing a proactive deviation alert system for yield and quality, enhancing data infrastructure, mentor team members, and fostering innovation to maintain a competitive edge. You will also collaborate with cross-functional teams within and outside of HBM to achieve both strategic and tactical objectives, continually maximizing the effectiveness of the HIG HBM PE organization, focusing on critical KPIs such as quality, cost, cycle time, and scale.
Key Responsibilities
Cumulative Yield Ownership: Be a key member of cross-functional teams, to lead impactful initiatives that significantly enhance overall yield and quality improvement, driving substantial benefits for the organization.
Data Analysis for Yield Improvement and Reliability: Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow.
Models/Algorithm Development: Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.
Product Disposition Solutions: Develop, validate and deploy product-disposition solutions (wormhole) to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow.
Deviation Alert System: Create a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.
Data Infrastructure Development: Collaborate with IT, Manufacturing, and Operations teams to develop and enhance the data infrastructure pipeline using cloud technologies to support reliability and engineering assessments.
Mentorship and Development: Actively mentor and develop team members to foster growth and development within the team and the organization.
Cross-Functional Collaboration: Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products.
Promotion of Innovation: Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market.
AI/ML Advocate: Collaborate with cross-functional teams to develop, deploy, and validate AI/ML models aimed at enhancing key performance indicators (KPIs) such as Quality, Cost, Cycle Time, and Scale.
Requirements
Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Artificial Intelligence, or related fields.
At least 10 years of experience in data analytics/science industry. Experience in Micron Product Engineering or the semiconductor industry is preferred.
Proven experience in leading analytic projects from conception to completion.
Demonstrate strong leadership and technical skills with a deep understanding of data analytics, data extraction, and analysis tools such as JMP, Tableau, and Power BI.
Highly proficient in statistical analysis, predictive modeling, and machine learning techniques, including extensive experience with libraries such as TensorFlow, Scikit-learn, and PyTorch.
Proficiency in programming languages such as Python, R, SQL, and web application languages like JavaScript, HTML, and CSS for advanced data manipulation and analysis.
Excellent communication skills to present findings and insights to non-technical stakeholders.
Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems.
Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).
Experience in mentoring and coaching team members to develop their skills and advance their careers.
Strong sense of responsibility and accountability towards assigned role with professional work ethic.
Work on site in Singapore with international travel to Taiwan.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Other
Industries Computer Hardware Manufacturing, Appliances, Electrical, and Electronics Manufacturing, and Semiconductor Manufacturing
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Snr/Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
Join to apply for the
Snr/Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
role at
Micron Technology
Snr/Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
2 days ago Be among the first 25 applicants
Join to apply for the
Snr/Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
role at
Micron Technology
Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Snr/Product Engineer (Advance Data Analytics),
Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a key team member within the HIG HBM Product Engineering Advanced Data Analytics team, you will be spearhead and develop a high-performing team to drive initiatives that significantly enhance yield and quality through advanced data analysis, machine learning, and AI. Your responsibilities will include developing cutting-edge algorithms, creating robust product disposition solutions, and establishing a proactive deviation alert system for yield and quality, enhancing data infrastructure, mentor team members, and fostering innovation to maintain a competitive edge. You will also collaborate with cross-functional teams within and outside of HBM to achieve both strategic and tactical objectives, continually maximizing the effectiveness of the HIG HBM PE organization, focusing on critical KPIs such as quality, cost, cycle time, and scale.
Key Responsibilities
Cumulative Yield Ownership: Be a key member of cross-functional teams, to lead impactful initiatives that significantly enhance overall yield and quality improvement, driving substantial benefits for the organization.
Data Analysis for Yield Improvement and Reliability: Utilize in-house statistical tools, machine learning, and AI for engineering data analysis to enhance yields and reliability, integrating these improvements within the Dispo workflow.
Models/Algorithm Development: Develop state-of-the-art algorithms, including Machine Learning and Deep Learning models, to advance data mining and pattern recognition for quality enhancement, yield improvement, wafer/die level screening and efficiency enhancement.
Product Disposition Solutions: Develop, validate and deploy product-disposition solutions (wormhole) to ensure quality and reduce Defects Per Million (DPM) through a comprehensive product disposition program/workflow.
Deviation Alert System: Create a deviation alert system to monitor yield loss, characteristic/parameter trends, and wafer/die/cube shading.
Data Infrastructure Development: Collaborate with IT, Manufacturing, and Operations teams to develop and enhance the data infrastructure pipeline using cloud technologies to support reliability and engineering assessments.
Mentorship and Development: Actively mentor and develop team members to foster growth and development within the team and the organization.
Cross-Functional Collaboration: Work closely with various cross-functional teams, including Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability teams, to ensure the holistic development and successful shipping of end products.
Promotion of Innovation: Promote innovation and drive changes that provide a technical advantage over competitors, maintaining the company's competitive edge in the market.
AI/ML Advocate: Collaborate with cross-functional teams to develop, deploy, and validate AI/ML models aimed at enhancing key performance indicators (KPIs) such as Quality, Cost, Cycle Time, and Scale.
Requirements
Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Artificial Intelligence, or related fields.
At least 3 years of experience in data analytics/science industry. Experience in Micron Product Engineering or the semiconductor industry is preferred.
Demonstrate strong leadership and technical skills with a deep understanding of data analytics, data extraction, and analysis tools such as JMP, Tableau, and Power BI.
Proficient in statistical analysis, predictive modeling, and machine learning techniques, including libraries such as TensorFlow, Scikit-learn, and PyTorch.
Proficiency in programming languages such as Python, R, SQL, and web application languages like JavaScript, HTML, and CSS for data manipulation and analysis.
Excellent communication skills to present findings and insights to non-technical stakeholders.
Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems. Experience in mentoring and coaching team members to develop their skills.
Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).
Strong sense of responsibility and accountability towards assigned role with professional work ethic.
Work on site in Singapore with international travel to Taiwan.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Other
Industries Computer Hardware Manufacturing, Appliances, Electrical, and Electronics Manufacturing, and Semiconductor Manufacturing
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