Associate Data Engineer

Key Skills

Agile methodologies, Algorithms, Apache NiFi, AWS, Azure, Big Data Technology, Data Engineering, Data Modeling, Data science techniques, Effective communication skills, ETL/ELT technologies, Google BigQuery, Google Bigtable, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, MemSQL, NoSQL, Oracle, Python Programming, Snowflake, SPARK Programming, SQL, Streaming APIs

Job Description

Broad knowledge and experience in:

• Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics
• Knowledge on ETL/ELT Design and processes
• Knowledge in databases and Datawarehouse modeling
• Knowledge in Cloud based data engineering and Machine Learning Models
• Knowledge in building APIs for application integration
• Knowledge on 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, to develop data imputation algorithms, and optimize 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 on ETL/ELT Design and processes (Apache Ni-Fi and Snowflake is 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, as well as 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)

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_in@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.