Sr Data Analytics Engineer – ATCQE

Location: Hyderabad - Phoenix Aquila, India

Time Type: Full time

Job Description

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.

Job Purpose

To develop and maintain data analytics solutions that support quality engineering, quality process optimization and operational decision-making across Micron’s Assembly and Test manufacturing and supplier networks.

Qualifications

Required:

• Strong foundation in statistics, including general linear models and machine learning techniques (supervised, unsupervised, semi-supervised).
• Proficient in data visualization tools such as Tableau, Power BI, and JMP.
• Hands-on experience with SQL, Snowflake, and GCP BigQuery for building advanced dashboards and business intelligence reports.
• Solid understanding of ETL/ELT processes, data warehousing, and feature store architectures.
• Skilled in Python for analytics workflows, ETL/ELT pipelines, and REST API development using frameworks like Django and FastAPI.
• Proven ability to work in global cross-functional teams across multiple time zones.
• Ability to work in morning shift (6 AM IST to 3 PM IST )
• Familiarity with Agile methodologies and tools such as Jira and Confluence.

Preferred:

• Exposure to MLOps practices in Google Cloud or on-premise environments.
• Experience with semiconductor or deep-tech manufacturing data.
• Understanding of manufacturing quality principles, including Advanced Process Control, Statistical Process Control (SPC), Fault Detection, and Tool Alarm systems.
• Knowledge of web UI frameworks, preferably Angular with Bootstrap.

Responsibilities

• Develop and apply statistical models and machine learning algorithms to large-scale datasets for quality and operational insights.
• Design predictive analytics solutions to support manufacturing and quality decision-making.
• Enhance existing quality control systems (e.g., SPC, Fault Detection, Tool Alarms) using advanced statistical techniques.
• Translate business challenges into data science solutions, including full-stack application development with user-friendly interfaces.
• Collaborate with Manufacturing Quality Engineers to gather requirements and deliver impactful analytics solutions.
• Clearly communicate model assumptions, performance metrics, and insights to stakeholders.
• Mentor junior engineers and share knowledge on emerging trends in statistics, machine learning, and AI.
• Partner with Micron’s Data Engineering and IT teams to pilot and scale AI innovations in Assembly and Test operations.
• Manage multiple concurrent projects and tasks effectively through structured project management.

Experience

5-8 years in data analytics or data science roles, preferably within the semiconductor manufacturing industry.

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical/Electronics Engineering, Applied Mathematics/Statistics, or a related discipline with substantial programming experience. A Master’s degree is preferred.
• Additional qualifications such as certifications in Machine Learning, Artificial Intelligence or Big Data, or notable achievements in Kaggle competitions, will be considered advantageous.

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 [email protected]

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.