Data Engineer, SMAI

2 weeks ago

Hyderabad, Telangana, India Micron Full time

At Micron Technology, we are revolutionizing the way the world uses information to enrich life for all. As a Sr Data Engineer, SMAI, you will be a key member of a cross-functional team responsible for developing and growing Micron's methods and systems for extracting new insights from our expanding data streams.

Collaborating with data scientists, engineers, technicians, and data mining teams, you will design and implement systems to extract data from Micron's business systems, transforming it into an actionable format. You will create new solutions, as well as support, configure, and enhance existing ones.

Responsibilities and Tasks

  1. Understand the Business Problem and the Relevant Data
  2. Translate analysis requirements into data requirements
  3. Identify and understand the data sources that are relevant to the business problem
  4. Develop conceptual models that capture the relationships within the data
  5. Define the data-quality objectives for the solution
  6. Be a subject matter expert in data sources and reporting options

Architect Data Management Systems

  1. Leverage understanding of the business problem and the nature of the data to select appropriate data management system (Big Data, OLTP, OLAP, etc.)
  2. Design and implement optimum data structures in the appropriate data management system (Hadoop, Teradata, SQL Server, etc.) to satisfy the data requirements
  3. Plan methods for archiving/deletion of information

Develop, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data

  1. Identify and select the optimum methods of access for each data source (real-time/streaming, delayed, static)
  2. Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model
  3. Develop processes to efficiently load the transform data into the data management system

Prepare Data to Meet Analysis Requirements

  1. Work with the data scientist to implement strategies for cleaning and preparing data for analysis (outliers, missing data, etc.)
  2. Develop and code data extracts
  3. Follow best practices to ensure data quality and data integrity
  4. Ensure that the data is fit to use for data science applications

Qualifications and Experience:

  1. 5+ years developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions
  2. Ability to work with multiple operating systems (MS Office, Unix, Linux, etc.)
  3. Experienced in developing ETL/ELT processes using Apache Ni-Fi and Snowflake

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