Sr Cloud Data Engineer, SMAI

Micron Technology — Hyderabad - Phoenix Aquila, India

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 Sr. Data Engineer at Micron Technology Inc., you will be a key member of a cross-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, engineers, technicians and data mining teams to design and implement systems to extract data from Micron’s business systems, transforming it into an actionable 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 enhancing existing 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 · Leverage understanding of the business problem and the nature of the data to select appropriate data management system (Big Data, OLTP, OLAP, etc.) · Design and implement optimum data structures in the appropriate data management system (Hadoop, Teradata, SQL Server, etc.) to satisfy the data requirements · Plan methods for archiving/deletion of information Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data · Identify and select the optimum methods of

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