Job Description
Micron
Associate Data Engineer
Full -Time
Hyderabad, Telangana, India
Micron began in 1978 as a four-person semiconductor design company in the basement of a Boise, Idaho dental office. By 1980, we had broken ground on our first fabrication plant, and then just a few years later we introduced the world's smallest 256K DRAM. In 1994, we earned a spot on the Fortune 500 and steadily grew into an industry leader through our technology innovations, key partnerships, and strategic acquisitions around the world. Check out the milestones that have made us who we are today.
Any Degree
Freshers/ Experienced
1. Big Data Engineering and Processing using Google Cloud Tech stack (Big Query, Big Table, Cloud functions, Spark, and cloud storage etc.)
2. Cloud Data Engineering knowledge on GCP/AWS/AZURE is a plus.
3. Conceptual Knowledge on ETL/ELT Design and processes (Apache Ni-Fi and Snowflake is a plus)
4. Algorithms and Data Structures (Understand appropriate usage of data structures and how they are used in common algorithms)
5. Cloud tools (Object Store (GCS), Kubernetes (GKE), Databases (BQ))
6. Solid understanding of SQL and databases (Oracle, MSSQL, etc.), including SQL and NoSQL.
7. Programming Skills in Python/Java etc...
8. Effective Communicator with analytical, logical and problem-solving skills.
1. Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics
2. Knowledge on ETL/ELT Design and processes
3. Knowledge in databases and Datawarehouse modeling
4. Knowledge in Cloud based data engineering and Machine Learning Models
5. Knowledge in building APIs for application integration
6. Knowledge on Software development life cycle process. e.g. Agile and Waterfall.
7. Establish procedures and determine the necessary transformations to transfer both structured and unstructured data from the source to a new physical Data Model.
8. 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.
Work in multi-functional groups with diverse interests and requirements to achieve a common goal.
