Micron Hiring For Data Analytics Engineer – ATCQE

Micron is hiring fresher’s and experienced candidates for the role of Data Analytics Engineer – ATCQE. The complete details about role are as follows.

Micron Hiring For Data Analytics Engineer – ATCQE

Company : Micron

Role : Data Analytics Engineer – ATCQE

Degree : Any Bachelor’s or Master’s degree

Batches : 2025,2024,2023,2022,2021

Experience :  0 – 3 Year’s

Salary : 3 – 12 LPA* (Expected)

Location: Hyderabad, India

Job Description:

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

Qualifications & Skills :

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical or Electronics Engineering, or a related field with extensive programming exposure. A Master’s degree is preferred.
  • Additional qualifications such as certifications in Data Engineering, Machine Learning, Artificial Intelligence, Big Data, or notable achievements in Kaggle competitions will be considered advantageous.
  • 0–3 years of experience in data analytics or data engineering roles.
  • Strong knowledge of Python and packages for data analytics and data engineering.
  • Strong hands-on experience with visualization software like Tableau, Power BI, and JMP.
  • Strong knowledge of REST API systems in Python such as FastAPI or Django.
  • Strong knowledge of a UI framework, preferably Angular with Bootstrap.
  • Hands-on experience in database technologies including SQL, Snowflake, and GCP BigQuery for setting up visualizations and business reports.
  • Good understanding of data engineering concepts like ETL/ELT, data warehousing, and feature stores.
  • Knowledge of descriptive and inferential statistics.
  • Experience working in global cross-functional teams across time zones.
  • Experience with Agile workflow and tools like Jira and Confluence.

Preferred:

  • Understanding of Machine Learning and AI Algorithms and evaluation techniques for model efficiency and effectiveness.
  • Knowledge of DevOps on cloud (GCP) or on-prem (OpenShift).
  • Experience working with semiconductor manufacturing or deep tech manufacturing data.
  • Knowledge of manufacturing quality practices and systems.

Roles and Responsibilities : 

  • Develop and maintain data ETL/ELT pipelines.
  • Develop and maintain lightweight full-stack applications using FastAPI and Angular.
  • Develop and maintain Tableau/Power BI dashboards.
  • Support extended teams with data-related tasks such as data extraction, analysis, and visualization.
  • Support the team in troubleshooting and debugging issues in deployed systems.
  • Translate business problems into data solutions.
  • Collaborate with cross-functional teams to create impactful projects.

How To Apply For Micron Careers :

  1. Click on the “Apply Here” button provided below. You will be redirected to Company official career page.
  2. Click on “Apply Online”.
  3. If you have not registered before, create an account.
  4. After registration, login and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Provide accurate information in your application.
  7. Verify that all the details entered are correct.
  8. Submit the application form after verification.

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About Micron 

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.

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