About the role
AI summarisedJoin an inclusive team at Micron Technology, transforming how the world uses information. This role involves building and maintaining robust data pipelines, applying AI support to accelerate onboarding and quality checks, and developing scalable ETL/ELT processes for advanced analytics in a cloud environment.
IDMOnsiteSmart MFG/AI
Key Responsibilities
- Build and maintain data/solution pipelines ingested with AI support for accelerated onboarding and quality checks.
- Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data.
- Design and optimize data structures in data management systems (Snowflake, GCP) to enable Smart Manufacturing AI solutions.
- Determine transformation requirements and develop processes to bring structured and unstructured data from source to a new physical data model.
- Build custom software components and analytics applications, enhanced with AI support for intelligence and automation.
- Create/Maintain CI/CD pipelines of data engineering solutions in the cloud, driving AI-informed testing and release automation.
- Apply AI to complete data engineering tasks more efficiently, empowering faster outcomes for AI applications.
Requirements
- Minimum of 3 years’ experience in software development, data engineering, or related field.
- B.S. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics, or related field (M.S. preferred).
- Proven experience developing ETL/ELT processes using Apache Ni-Fi and Snowflake, GCP Big Query, or equivalent Data Warehouse.
- Strong working knowledge of databases (Oracle, MSSQL) including advanced SQL and NoSQL.
- Significant experience with big data processing using Hadoop, Yarn, Hive, Pig, Sqoop, MapReduce, HBASE, Flume, etc.
- Familiarity with software architecture including data structures and schemas.
- Experience with CI/CD tools (Jenkins, Git, Docker, Kubernetes).
- Ability to work with multiple operating systems (Unix, Linux, MS Office).