Nike Data Engineer Hiring 2025: Freshers Apply Now
Nike Off Campus Drive 2025: Data Engineer Opportunity for Freshers
Nike is seeking talented and passionate individuals to join their team as Data Engineers. This is an exceptional opportunity for recent graduates and early-career professionals (0-2 years of experience) to begin their careers with a global leader in sportswear and innovation. As a Data Engineer at Nike, you will be at the forefront of data-driven decision-making, working on cutting-edge projects that leverage big data technologies to shape the future of the company.
Job Description: Nike Data Engineer
- Job Title: Data Engineer
- Location: Bangalore
- Salary: Competitive within the Industry
- Experience: Freshers/0-2 Years
Responsibilities and Expectations
As a Data Engineer, you will be an integral part of a mission-critical team responsible for building high-throughput, low-latency, and fault-tolerant Paid Media solutions. These solutions are essential to Nike’s Digital transformation and overall growth strategies.
Key Responsibilities:
- Participate in the design and implementation of data engineering solutions.
- Collaborate with cross-functional teams to understand data requirements and develop appropriate solutions.
- Build and maintain data pipelines for ingestion, processing, and storage of large datasets.
- Ensure data quality and accuracy throughout the data lifecycle.
- Optimize data infrastructure for performance and scalability.
- Implement CI/CD pipelines for automated deployment and testing.
- Contribute to the development of data models and data governance policies.
Required Skills and Qualifications
The ideal candidate will possess a strong foundation in data engineering principles and a passion for working with data. Specific requirements include:
- 0-2 years of software development experience in data engineering with proficiency in Python or Java.
- Experience with big data technologies such as Databricks, Hive, Spark, and EMR.
- Strong SQL skills and experience with relational databases.
- Demonstrated strength in data modeling, ETL development, and data streaming.
- Knowledge of data management fundamentals and data storage principles.
- Familiarity with moving large files across geographically dispersed networks and knowledge of accelerated transfer methods.
- Experience with microservices architecture, domain-driven design, and RESTful APIs.
- Experience using cloud services (e.g., AWS – EC2, ECS, API Gateway, Lambda, DynamoDB, Kafka) to build integrated applications.
- Experience with implementing CI/CD and DevOps practices for deploying and supporting software in production.
- Experience working in highly collaborative, multi-discipline development team environments.
- Experience developing automated tests (E2E) with testing frameworks.
- Solid understanding of Scrum and Agile principles.
- Dedication to and hands-on experience in performing technical code reviews.
- Excellent verbal and written communication and collaboration skills.
- Bachelor’s degree in Computer Science or Engineering, Information Systems, or a related field.
Technologies Used
The Data Engineering team at Nike utilizes a variety of cutting-edge technologies, including:
| Technology | Description |
|---|---|
| Python/Java | Primary programming languages for data processing and application development |
| Databricks | Unified data analytics platform |
| Hive/Spark | Distributed data processing frameworks |
| EMR | Managed Hadoop framework on AWS |
| SQL | Standard language for database interaction |
| AWS Services | Cloud computing platform for infrastructure and services |
| Kafka | Distributed streaming platform |
| CI/CD Tools | Tools for automated build, test, and deployment pipelines |
How to Apply
Interested and eligible candidates are encouraged to apply for the Nike Data Engineer position through the following application link: