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.
Broad knowledge and experience in: Understanding of Data Engineering/processing, Business Intelligence and Advanced analytics
Knowledge in databases and Data warehouse modeling
Knowledge in Cloud based data engineering and Machine Learning Models
Knowledge in building APIs for application integration
Experience with various frameworks and processes, such as Agile/Scrum
Experience in SAP ERP Modules, like MM, CO
Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model
Work with Data Scientists to implement strategies for cleaning and preparing data for analysis, to develop data imputation algorithms, and optimize performance of big data and machine learning systems
Build and optimize data models to support AI/ML use cases in business pillar
Integrate AI solutions into Business solutions and dashboards
Ensure high data quality, lineage, and governance across business datasets
Above average skills in: Data Engineering and Processing with Architectures
Strong background on SQL and Data Warehousing
Develop ETL/ELT processing using Python, Snowflake SQL Scripts
Develop Data Models, APIs, and UI
Knowledge in business domains, Procurement, Capital, Cost
Familiar with cloud platforms such as GCP, AWS, Azure and data services (Big Query, Snowflake)
Knowledge of Dev Ops practices and CI/CD pipelines
Data Analysis and Validation skills
Demonstrated ability to: Work in a dynamic, fast-paced, work environment
Self-motivated with the ability to work under minimal direction
To adapt to new technologies and learn quickly
Detail-oriented, passionate about data and information with strong analytical, problem solving, and organizational skills
Work in multi-functional groups, with diverse interests and requirements, to a common objective
Communicate very well with distributed teams (written, verbal and presentation)
Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
3+ years of experience in Data Engineering, with at least 1 years in business area (perfer)
