NIKE is hiring Freshers for the roles of DATA ENGINEER. The details of the job, requirements and other information given below:
NIKE IS HIRING : DATA ENGINEER
- Qualification :Bachelor’s degree in computer science engineering
- 0-2 years of hands-on experience in data engineering field
- Expertise SQL and Python
- Excellent written and verbal communication skills
- Location: Karnataka
Don’t miss out, CLICK HERE (to apply before the link expires)
Interview Questions and Answers for Data Engineer Role at Nike
1. What does a Data Engineer do?
Answer:
A Data Engineer builds systems that collect, clean, and prepare data for analysis. They create data pipelines so the right data can reach the right place at the right time. This helps companies like Nike make smart business decisions using data.
2. What is a data pipeline?
Answer:
A data pipeline is a process that moves data from one place to another — for example, from a database to a data warehouse. It can also clean, transform, or format the data during the process. Think of it like a water pipe that carries water (data) from the source to where it’s needed.
3. What programming languages do you know for data engineering?
Answer:
I am comfortable with Python, which is great for writing data scripts and working with data libraries like Pandas. I also know SQL, which is used to get data from databases. These are two key skills required for the Nike Data Engineer role.
4. What is your experience with SQL?
Answer:
I have written SQL queries to select, filter, join, and group data from databases. I also used SQL to create and update tables. I understand how to use SQL for data analysis and data cleaning.
5. Can you explain what Spark is?
Answer:
Apache Spark is a powerful tool used to process large amounts of data quickly. It works well with big data and can run tasks much faster than traditional systems. It’s often used in data engineering to process and analyze data at scale.
6. What is Databricks, and why is it useful?
Answer:
Databricks is a cloud platform that helps data engineers and data scientists work with big data easily. It supports tools like Spark and allows you to write and run notebooks for data processing. It also helps teams collaborate on data projects.
7. How do you make sure the data in a pipeline is reliable?
Answer:
To make sure the data is reliable, I use these steps:
Add checks to confirm data is complete and not missing
Log errors and fix them quickly
Write tests to check data quality
Review pipelines regularly to improve them
8. Describe a situation where you solved a problem using data.
Answer:
During my college project, I worked on analyzing sales data. I cleaned and transformed the data using Python and SQL. I then created a report showing customer trends, which helped suggest ideas for better marketing strategies. It was a good experience in using data to solve a real-world problem.
9. Why do you want to work at Nike as a Data Engineer?
Answer:
Nike is a global brand known for innovation and technology. I’m excited about the chance to work with big data that powers decisions for sports and customers around the world. I want to learn from experienced engineers and grow my career while contributing to a company I admire.
10. How do you stay updated in data engineering?
Answer:
I follow online platforms like Medium, YouTube, and LinkedIn. I also take courses on Coursera and Udemy. I practice regularly with Python, SQL, and small data projects to keep improving my skills.
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