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Data Engineer,Smart MFG & AI

Hyderabad, TG, IN


Req. ID: 218002 


Micron Technology’s vision is to transform how the world uses information to enrich life and our commitment to people, innovation, tenacity, collaboration, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and professionalism while supporting our global community.


Do you believe that data provides groundbreaking insight? Do you see data as an asset that builds a competitive advantage? Great…so do we!


Micron Technology operates in a highly competitive industry where innovation depends on hardworking minds extracting fresh insights from an ever-expanding data universe. We are seeking an experienced Data Engineer capable of designing and implementing large data solutions from data streams and intelligent systems, including transforming, supporting, configuring and enhancing existing data solutions. Are you experienced in applying Data Engineering, advanced analytics and Machine learning to traditional data warehousing and Big Data, never-before-solved problems for industrial manufacturing at scale? Does this sound like the right team for you? Apply today!


As a Data Engineer at Micron Technology Inc., you will be a key member of a multi-functional team responsible for developing and growing Micron’s methods and systems for extracting new insight for our expanding data streams. You will be collaborating with data scientists, solution analysts, engineers, technicians and data mining teams to design and implement systems to extract data from Micron’s business systems, redefining it into an impactful format, and as needed, creating dynamic presentation layers for use by high-level engineers and managers throughout the company. You will be creating new solutions, as well as, supporting, configuring, and improving existing solutions. This role will work primarily with SQL Server and SSIS ETL tools, native SAP HANA development in an in-memory data warehouse environment, Cloud Data-warehouse and Cloud based engineering and analytics solutions.

Responsibilities and Tasks

Understand the Business Problem and the Relevant Data

  • Maintain an intimate understanding of company and department strategy
  • Translate analysis requirements into data requirements
  • Identify and understand the data sources that are relevant to the business problem
  • Develop conceptual models that capture the relationships within the data
  • Define the data-quality objectives for the solution
  • Be a subject matter expert in data sources and reporting options

Architect Data Management Systems

  • Bring to bear understanding of the business problem and the nature of the data to select appropriate data management system (SAP HANA, SAQL Server, Big Data, OLTP, OLAP.)
  • Design and implement optimum data structures in the appropriate data management system (SAP HANA, SQL Server, Cloud Data-warehouse etc.) to satisfy the data requirements
  • Plan methods for archiving/deletion of information

Develop, Support, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data

  • Identify and select the optimum methods of access for each data source (real-time/streaming, delayed, static)
  • Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model
  • Develop processes to efficiently load the transform data into the data management system
  • Troubleshoot operational escalations and resolve business partner issues in a timely manner with strong collaboration and care for business priorities.

Prepare Data to Meet Analysis Requirements

  • Work with the data scientist to implement strategies for cleaning and preparing data for analysis (e.g., outliers, missing data, etc.)
  • Develop and code data extracts
  • Follow best practices to ensure data quality and data integrity
  • Ensure that the data is fit to use for data science applications

Qualifications and Experience:

  • 3+ years developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions
  • 3+ years proven ability working with SAP HANA, SQL Server, SSIS and Power BI or Tableau platforms
  • Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL.
  • Strong mathematics background, analytical, problem solving, and interpersonal skills
  • Experience with Apache Ni-Fi and Snowflake Cloud Datawarehouse is a plus
  • Experience with one of the following domains SAP, JDA, Salesforce, Supply Chain, Finance, Blockchain is a plus
  • Experience working with Big Data platforms, Cloud migration, AutoML, Blockchain is a plus
  • Strong communication skills (written, verbal and presentation)
  • Experience working in a global, cross-functional environment
  • Ability to travel as needed


B.S. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics or related field of study.

M.S. degree preferred.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.



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.

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s Human Resources Department at 1-800-336-8918 or 208-368-4748 and/or by completing our General Contact Form

Keywords:  Hyderabad || Telangana (IN-TG) || India (IN) || SGA || Experienced || Regular || Manufacturing/Production Operations || #LI-INHYD1 || Tier 4 || 

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