What is salary data engineer?

It is not specific salary data for data engineers at Michelin. However, according to salary data from various sources such as Glassdoor, PayScale, and LinkedIn, the salary for a data engineer can vary based on several factors such as experience, location, industry, and company size.

On average, a data engineer’s salary can range from approximately INR 4,00,000 to INR 20,00,000 per year in India. However, this range may vary depending on the factors mentioned above.  It’s also worth noting that Michelin’s salaries may differ from the average salaries in the market and may depend on the specific job role, level of experience, and other factors.

Design and impact analysis

• Contribute to define feasibility (technical options…), functional design and solution validation.
•  Performs impact analysis related to data capitation (system performance in production, security, etc.)
• Identifies the source of physical data
• Enforces security and confidentiality rules for data on its perimeter

Implementation and Deployment

• Completes and executes data collection procedures
• Builds data collection infrastructure (IoT: Internet of Things, sensors, database, files, etc.)
• Deploys data collection infrastructure and procedures
• Measures the impact on the technical chain implemented (from the connected object to the storage system)
• Completes the necessary tests to validate the solution
• Documents the implemented solutions

Support and troubleshooting

• Analyzes and understands the origin of a complex malfunction, incident or bug.
• Adopts a proactive approach to avoid or identify root causes of problems.
•  Provides technical assistance to users.

Experience:

• Fresher
• Bachelor’s degree in IT or related fields
• Batch: 2020/21/22/23

Skills:

• Good to have Data Engineering skill sets
• Good to have Azure cloud skill sets

Data engineer interview question

Here are some common interview questions that may be asked for a data engineer role:

1. What is your experience with data modeling and database design?
2. How do you ensure data quality and consistency in your work?
3. Can you explain your experience with ETL (Extract, Transform, Load) processes and tools?
4. How have you optimized data storage and retrieval performance in your previous roles?
5. What is your experience with cloud-based data engineering solutions such as AWS or Azure?
6. Can you walk us through your approach to designing and implementing data pipelines?
7. How do you ensure data security and privacy in your work?
8. Have you worked with big data technologies such as Hadoop, Spark, or NoSQL databases?
9. How do you collaborate with other stakeholders, such as data analysts and business teams, to ensure data solutions meet their needs?
10. Can you give an example of a challenging data engineering project you worked on and how you overcame any obstacles?
11. How do you stay up-to-date with the latest technologies and trends in the data engineering field?
12. Have you worked with data visualization tools? If so, which ones and how have you used them in your work?
13. How do you approach testing and troubleshooting data engineering solutions to ensure they are functioning correctly?
14. Can you explain how you have used automation and/or scripting to streamline data engineering tasks?
15. Can you discuss your experience with managing and processing real-time data streams?

It’s worth noting that the specific questions may vary depending on the company, role, and level of experience. However, these questions can help you prepare for a data engineer interview and showcase your skills and experience in the field.