Company: Micron Technology
Role: Associate Data Engineer
Location: Hyderabad
Salary: 5.5 LPA to 7.5 LPA
Qualifications: Any Graduation/ Post Graduate/MBA
About Organization:
Micron Technology is a leading global semiconductor company headquartered in Boise, Idaho. Specializing in memory and storage solutions, it designs and manufactures DRAM, NAND flash, and 3D XPoint memory, crucial components for computers, mobile devices, and data centers. Micron's innovative products empower technological advancements in artificial intelligence, 5G, and autonomous vehicles. With a commitment to sustainability, it focuses on reducing its environmental footprint and ensuring responsible sourcing. Micron's dedication to research and development fuels its competitiveness in the semiconductor industry, fostering progress in the digital era while addressing the world's growing demand for high-performance memory solutions.
Job Description:
Broad knowledge and experience in:
Understanding of Big Data Engineering/processing, Business Intelligence and Advanced Analytics
Knowledge of ETL/ELT Design and processes
Knowledge of databases and Data warehouse modeling
Knowledge in Cloud-based data engineering and Machine Learning Models
Knowledge in building APIs for application integration
Knowledge of Software development life cycle process. e.g. Agile and Waterfall.
Establish procedures and determine the necessary transformations to transfer both 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, develop data imputation algorithms, and optimize the performance of big data and machine learning systems.
Above average skills in:
Big Data Engineering and Processing using Google Cloud Tech stack (Big Query, Big Table, Cloud functions, Spark, and cloud storage etc.)
Cloud Data Engineering knowledge on GCP/AWS/AZURE is a plus.
Conceptual Knowledge of ETL/ELT Design and processes (Apache Ni-Fi and Snowflake are a plus)
Algorithms and Data Structures (Understand appropriate usage of data structures and how they are used in common algorithms)
Cloud tools (Object Store (GCS), Kubernetes (GKE), Databases (BQ))
Solid understanding of SQL and databases (Oracle, MSSQL, etc.), including SQL and NoSQL.
Programming Skills in Python/Java etc...
Effective Communicator with analytical, logical and problem-solving skills.
Demonstrated ability to:
Work in a dynamic, fast-paced work environment
Be self-motivated and able to work under minimal supervision.
Adapt to new technologies and learn quickly.
Have a strong passion for data and information and strong analytical, problem-solving, and organizational skills.
Work in multi-functional groups with diverse interests and requirements to achieve a common goal.
Communicate very well with distributed teams (written, verbal and presentation)
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