Sr Cloud Data Engineer, SMAI

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 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

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:           
 · 5+ years developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions
 · Ability to work with multiple operating systems (e.g., MS Office, Unix, Linux, etc.)
 · Experienced in developing ETL/ELT processes using Apache Ni-Fi and Snowflake

 · Experienced in Cloud based solutions using AWS/AZURE/GCP.
 · Significant experience with big data processing and/or developing applications and data sources via Spark, etc.
 · Understanding of how distributed systems work       
 · Familiarity with software architecture (data structures, data schemas, etc.)
 · Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL. 
 · Strong mathematics background, analytical, problem solving, and organizational skills     
 · Strong communication skills (written, verbal and presentation)
 · Experience working in a global, cross-functional environment
 · Minimum of 2 years’ experience in any of the following:  At least one high-level client, object-oriented language (e.g., C#, C++, JAVA, Python, Perl, etc.); at least one or more web programming language (PHP, MySQL, Python, Perl, JavaScript, ASP, etc.); one or more Data Extraction Tools (SSIS, Informatica etc.)
 · Software development
Ability to travel as needed.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

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_india@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.   

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