Associate Software Engineer (Node.JS / C++ developer)
Company: Micron Technology | Location: Hyderabad | Exp: 0-7 Years
As a Big Data Engineer at Micron Technology Inc., you will be a key member of a multi-functional team responsible for developing and growing Micron’s methods and systems for extracting new insight for our expanding data streams. You will be collaborating with data scientists, engineers, technicians and data mining teams to design and implement systems to extract data from Micron’s business systems, transforming it into an actionable format, and as needed, creating dynamic presentation layers for use by high-level engineers and managers throughout the company. You will be creating new solutions, as well as, supporting, configuring, and improving existing solutions.
Responsibilities and Tasks:
Understand the Business Problem and the Relevant Data
Maintain an intimate understanding of company and department strategy
Translate analysis requirements into data requirements
Identify and understand the data sources that are relevant to the business problem
Develop conceptual models that capture the relationships within the data
Define the data-quality objectives for the solution
Be a subject matter expert in data sources and reporting options
Architect Data Management Systems
Use understanding of the business problem and the nature of the data to select appropriate data management system (Big Data, OLTP, OLAP, etc.)
Design and implement optimum data structures in the appropriate data management system (Hadoop, Teradata, SQL Server, etc.) to satisfy the data requirements
Plan methods for archiving/deletion of information
Develop, Automate, and Orchestrate an Ecosystem of ETL
Processes for Varying Volumes of Data
Identify and select the optimum methods of access for each data source (real-time/streaming, delayed, static)
Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model
Develop processes to efficiently load the transform data into the data management system
Prepare Data to Meet Analysis Requirements
Work with the data scientist to implement strategies for cleaning and preparing data for analysis (e.g., outliers, missing data, etc.)
Develop and code data extracts
Follow standard methodologies to ensure data quality and data integrity
Ensure that the data is fit to use for data science applications
Qualifications and Experience:
0-7 years of experience developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions
Ability to work with multiple operating systems (e.g., MS Office, Unix, Linux, etc.)
Experienced in developing ETL/ELT processes using Apache Ni-Fi and Snowflake
Significant experience with big data processing and/or developing applications and data sources via Hadoop, Yarn, Hive, Pig, Sqoop, MapReduce, HBASE, Flume, etc.
Understanding of how distributed systems work
Familiarity with software architecture (data structures, data schemas, etc.)
Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL.
Strong mathematics background, analytical, problem solving, and organizational skills
Strong communication skills (written, verbal and presentation)
Experience working in a global, multi-functional environment
Ability to travel as needed
B.S. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics or related field of study.
M.S. degree preferred.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We recruit, hire, train, promote, discipline and provide other conditions of employment without regard to a person’s race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity and expression, pregnancy, veteran’s status, or other classifications protected under law. This includes providing reasonable accommodation for team members’ disabilities or religious beliefs and practices.
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