Associate Data Engineer null

About Micron

Micron manufactures and distributes semiconductor devices, dynamic random-access memory, flash memory, and solid-state drives. They are known for being one of the world's best chipmakers alongside companies like Sandisk, Seagate, and Smart Global, and a partner of Intel for years.

Training, development & rotations

Micron is also committing to extensive community investment. The company is partnering with institutions of higher learning to advance professional and technical training for team members as well as future employees, ensuring the pipeline of STEM workers is adequate for the future.

Salary & benefits

The salary for the role at this company can range from INR 8 LPA to INR 10 LPA. (Source: AmbitionBox).

The benefits they offer include:

• Bonus parental leave
• Permanent employee
• Stock options
• Child care
• Free gym
• Free lunch
• Maternity Insurance
• Flexible working hours

Work-life balance

Micron offers a variety of leave options when team members need to take time away from work. For select segments of Micron’s workforce, flexible work options are available to help team members maintain a satisfying work-life balance. Work days are usually from Monday to Friday with flexible work timings.

Culture & vibe

Micron has a fast-paced work culture where on-time and high-quality turnarounds are expected. Every employee is expected to show up to work with a collaborative mindset. Micron has a team-based culture that emphasizes every member's personal and career growth. 

At Micron, it's always safety first. As a company, Micron puts in extra effort to create a collaborative work environment for its employees. Employees are empowered, trained, and encouraged so they can meet the company's demands and help themselves rise through the ranks in Micron.

About you

Requirements:

• Understanding of Big Data Engineering/processing, Business Intelligence, and Advanced Analytics.
• Developing ETL/ELT processes.
• Knowledge of databases and Data warehouse modeling.
• Knowledge of Cloud-based data engineering and Machine Learning Models.
• Knowledge of building APIs for application integration.
• Experience with various frameworks and processes, such as Agile.
• Determine transformation requirements and develop processes to bring 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 Hadoop stack (Hadoop, Hive, HDFS, Spark and HBase, etc.).
• Develop ETL/ELT processing using Apache Ni-Fi.
• Strong background in SQL and databases.
• Programming Skills in Python or Scala.
• Data Analysis and Validation skills.

Demonstrated ability to:

• Work in a dynamic, fast-paced, work environment.
• Self-motivated with the ability to work under minimal direction.
• To adapt to new technologies and learn quickly.
• A passion for data and information with strong analytical, problem-solving, and organizational skills.
• Work in multi-functional groups, with diverse interests and requirements, toward a common objective.
• Communicate very well with distributed teams (written, verbal, & presentation).

How to apply

To apply for this position, simply click the “Apply on employer site” button on this page which navigates to the career link where the application can be submitted directly.