Are you a recent graduate looking to kickstart your career in data engineering? Here’s a golden opportunity! Nike is hiring Data Engineer freshers in Karnataka. If you have strong skills in SQL and Python and are passionate about working with data, this job might be perfect for you.
In this blog post, we’ll cover the job details, qualifications, required skills, and commonly asked interview questions to help you prepare and apply confidently.
Job Overview – Nike Data Engineer Fresher Role
- Position: Data Engineer
- Company: Nike
- Experience: 0–2 years
- Location: Karnataka, India
- Qualification: Bachelor’s Degree in Computer Science Engineering
- Required Skills: SQL, Python, Communication Skills
Who Can Apply?
Freshers with a Computer Science background and up to 2 years of relevant experience are encouraged to apply. Nike is looking for individuals who are not only technically skilled but also good communicators and problem solvers.
Key Qualifications:
- Bachelor’s degree in Computer Science Engineering
- 0–2 years of hands-on experience in data engineering
- Strong knowledge of SQL and Python
- Excellent verbal and written communication skills
What Does a Data Engineer Do?
A Data Engineer at Nike is responsible for building systems that gather, transform, and move data to various storage and analysis platforms. Their work helps Nike make smarter business decisions using reliable data insights.
Interview Questions For Nike Data Engineer Fresher Role
Here are a few frequently asked interview questions for the Nike Data Engineer Fresher role, along with simple and clear answers:
1. What does a Data Engineer do?
Answer: A Data Engineer builds pipelines and tools to collect, clean, and manage data. These systems ensure analysts and business teams get accurate data to make decisions.
2. What is a data pipeline?
Answer: A data pipeline moves data from one system to another, such as from a database to a data warehouse. It may also clean or reformat data along the way.
3. What programming languages do you know for data engineering?
Answer: I am proficient in Python for data manipulation and automation. I also use SQL to query and manage relational databases. Both are essential for data engineering.
4. What is your experience with SQL?
Answer: I have written SQL queries for data filtering, joining tables, grouping data, and performing basic analytics. I’m confident using SQL for both querying and cleaning data.
5. Can you explain what Apache Spark is?
Answer: Apache Spark is a fast and powerful tool for processing large datasets. It is commonly used in data engineering to handle big data and perform complex computations.
6. What is Databricks, and why is it important?
Answer: Databricks is a cloud platform that simplifies big data processing. It supports Spark and lets engineers write, share, and run data workflows in one place.
7. How do you ensure data reliability in pipelines?
Answer: I include validation checks, handle exceptions, use logging to track errors, and monitor data quality regularly. These steps help maintain pipeline reliability.
8. Describe a problem you solved using data.
Answer: In a college project, I analyzed sales data using Python and SQL. I identified customer behavior patterns and created reports that suggested improved marketing strategies.
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