The data landscape is evolving, and for those who are passionate about data engineering, Micron Technology offers an exciting opportunity. This blog explores the duties of a Data Engineer Intern at Hyderabad-based Micron Technology. This internship is intended for people who are eager to learn about big data engineering and cloud computing.
Location and Company Background
One of India’s main centers for technology, Hyderabad, is the location of the internship. The development of DRAM, NAND, and flash memory products, among other memory and storage solutions, is widely credited to Micron Technology. Thanks to this chance, the candidate will be able to operate in a creative and dynamic atmosphere.
Overview of the Job Role
A Data Engineer Intern is being sought after by Micron Technology. Freshmen or candidates with up to a year of experience are best suited for this role.
The main goals are to learn and participate in data engineering projects, with a focus on enabling cloud-based data operations, processing huge data sets, and managing databases.
Apply Here: Data Engineer Intern
- Job Designation: Data Engineer Intern
- Salary: 3 -4 LPA
- Qualification: Bachelor’s Degree in Computer Science, Data science, or Engineering.
- Experience: 0-1 Years
- Organization Name: Micron Technology
- Website: Micron Technology
- Locations: Hyderabad
- Mode: online
Responsibilities of the Role
Recognizing and utilizing big data for insights and business analytics.
Creating ETL/ELT process designs to oversee the pipeline for data transformation.
Creating and maintaining models for data warehouses and databases.
Utilizing machine learning models and cloud-based data engineering tools.
Creating APIs to enable smooth integration of applications.
Knowing the methods of Agile and Waterfall in the Software Development Life Cycle (SDLC).
Broad Knowledge Requirements
Big Data Processing and Engineering
Big data engineering is one of the main focuses of the Data Engineer Internship. Big data ideas, such as analyzing massive data sets to extract business knowledge and insights, are anticipated by the candidate. It is advantageous to know Google Cloud technologies such as BigQuery, BigTable and Cloud Functions.Design of ETL/ELT
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) procedures should be familiar to the intern. In the subject of data engineering, these procedures are crucial since they aid in preparing data for consumption and analysis.Modeling Databases and Data Warehouses
Additionally, knowledge of database modeling and data warehouse architecture is needed for the internship. This involves transforming data into formats that are appropriate for analysis and working with both structured and unstructured data.Data Engineering in the Cloud
Another crucial component of this position is data engineering on the cloud. It is beneficial to know about cloud computing systems such as Google Cloud Platform (GCP), AWS, or Azure.API Development: Developing Application Programming Interfaces, or APIs, is a critical competency for application integration. APIs facilitate the automation of data flow and system integration.
Life Cycle of Software Development (SDLC)
A thorough understanding of the SDLC, including approaches like Agile and Waterfall, is necessary for the internship. This information is essential for working in an organized setting where several teams cooperate to produce software solutions.
Skills Needed for the Internship
The internship emphasizes skills in Big Data Engineering using the Google Cloud tech stack. This includes tools like:
- BigQuery
- BigTable
- Cloud Functions
- Spark
- Cloud Storage
Concepts of ETL/ELT
It helps to have a conceptual understanding of ETL/ELT operations, particularly when utilizing programs like Apache NiFi and Snowflake.Data Structures and Algorithms
It takes a solid grasp of data structures and algorithms to solve problems effectively. It is vital to understand which data structure works best with a given algorithm.Knowledge of Cloud Tools
It’s quite useful to know about databases (like BigQuery), Kubernetes (GKE), and cloud tools like Object Store (GCS).Understanding SQL and Databases
A strong understanding of SQL and databases like Oracle and MSSQL is required for the internship. Understanding NoSQL databases is also beneficial for handling
Eligibility Criteria
Experience: 0–1 year in a similar profession or data engineering.
Background in Engineering, Data Science, or Computer science education.
Interest in analytics, cloud computing, and data management.
Expected Stipend and Benefits
For this position, a salary of 3-6 LPA (Lakh Per Annum) is anticipated. In addition to receiving financial compensation, the intern will have practical experience collaborating with highly qualified individuals and state-of-the-art technologies.
Conclusion
A great place to begin a career in data engineering is Micron Technology’s Data Engineer Intern position in Hyderabad.
For recent graduates or those with little experience, the internship offers a rich learning environment with an emphasis on big data, cloud computing, and machine learning.
This internship provides a springboard for a lucrative career in data engineering since it offers tough assignments and guidance from seasoned experts.
