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Live, first seen by us 32 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and maintain EHSS data models, source-to-target mappings, and transformation logic
Define data-quality controls, validation rules, and reconciliation processes
Translate approved business definitions into reusable, analytics-ready datasets
Validate data and perform root-cause analysis across sources, mappings and products
Maintain technical metadata, data dictionaries, and transformation specifications
Design and maintain EHSS data models, source-to-target mappings, transformation logic, and technical data specifications.
Define and maintain data-quality controls, validation rules, reconciliation processes, and technical acceptance criteria.
Translate approved business definitions and rules into reusable, analytics-ready data structures and datasets.
Perform data validation, reconciliation, and root-cause analysis across source systems, mappings, transformations, and data products.
Maintain technical metadata, mapping documentation, data dictionaries, and transformation specifications.
Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Engineering, or a related technical discipline.
6-10+ years of experience in data engineering, data modelling, data integration, business intelligence engineering, or related technical data roles.
Experience designing data models, source-to-target mappings, transformation logic, and technical data specifications.
Experience with data profiling, data-quality controls, reconciliation, validation, and structured testing.
Experience translating complex business requirements into precise, testable technical specifications.
Experience working with enterprise databases, cloud-based data environments, or data platforms.
Experience with Snowflake, SQL Server, Google Cloud Platform (GCP), Azure Data Services, or comparable enterprise data platforms.
Experience validating production data products, data pipelines, or enterprise data solutions.
Experience supporting EHSS, Quality, Manufacturing, Supply Chain, or other regulated operational functions.
Experience with Git, Azure DevOps, or similar version-control and development-management tools.
Requirements - Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Engineering, or a related technical discipline. - 6-10+ years of experience in data engineering, data modelling, data integration, business intelligence engineering, or related technical data roles.
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Day 32
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
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- Experience with Snowflake, SQL Server, Google Cloud Platform (GCP), Azure Data Services, or comparable enterprise data platforms. - Working proficiency in SQL and Python for data transformation, validation, automation, or data engineering activities. - Experience with Git, Azure DevOps, or similar version-control and development-management tools.
- 6-10+ years of experience in data engineering, data modelling, data integration, business intelligence engineering, or related technical data roles. - Advanced proficiency in SQL and relational database concepts. - Experience designing data models, source-to-target mappings, transformation logic, and technical data specifications.
Data Engineering & Platforms - Experience with Snowflake, SQL Server, Google Cloud Platform (GCP), Azure Data Services, or comparable enterprise data platforms. - Working proficiency in SQL and Python for data transformation, validation, automation, or data engineering activities.
- Understanding of how trusted data supports reporting, analytics, automation, AI-enabled solutions, and intelligent business processes. - Experience modernizing legacy databases, SQL logic, or manually managed data processes. Domain & Professional Experience
- Experience working in a global, cross-functional organization. - Relevant certifications in data engineering, Snowflake, SQL, Azure, GCP, or comparable data technologies About Micron Technology, Inc.
- Working proficiency in SQL and Python for data transformation, validation, automation, or data engineering activities. - Experience with Git, Azure DevOps, or similar version-control and development-management tools. - Experience with metadata, data-quality, data-catalogue, lineage, or data-governance capabilities.
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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.
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.
Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence.
As the Staff Specialist, EHSS Data, you will serve as the technical specialist for the EHSS data domain. You will partner with EHSS SMEs, SMAI, and IT to shape trusted data products, data models, and technical specifications that support reporting, analytics, AI, and operational decision-making.
You will provide the technical expertise needed to ensure EHSS data is reliable, reusable, well-governed, and aligned with approved business definitions and enterprise data practices.
Key Responsibilities
Build the EHSS Trusted Data Foundation
Enable Trusted Data Products & Integration
Steward Data Quality & Sustainability
Requirements
Preferred Qualifications
Data Engineering & Platforms
Enterprise Data & Digital Enablement
Domain & Professional Experience
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 hrsupport_sg@micron.com
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.
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