Nissan Off Campus 2023 for the position of Data Engineer. The eligibility requirements and application process are in detail below.
About Company
Nissan is a Japanese multinational automobile manufacturer that produces a wide range of vehicles, including cars, trucks, SUVs, and electric vehicles (EVs). The company is headquartered in Yokohama, Japan, and was founded in 1933 as the Nissan Motor Company.
Nissan has a global presence and operates in more than 160 countries. The company’s brand portfolio includes Nissan, Infiniti, and Datsun. Nissan is known for producing popular models such as the Nissan Altima, Nissan Maxima, Nissan Rogue, Nissan Pathfinder, and Nissan GT-R, among others.
In recent years, Nissan has focused on electric vehicles and has introduced several EV models, including the Nissan Leaf, which is the world’s best-selling electric car. The company has also invested in other technologies, such as autonomous driving and connectivity features, to enhance the driving experience for its customers.
Nissan has faced several challenges in recent years, including declining sales and profitability, as well as corporate governance issues. In 2019, the company announced a significant restructuring plan aimed at improving its financial performance and streamlining its operations.
Despite these challenges, Nissan remains a major player in the automotive industry and continues to innovate and develop new technologies to meet the changing needs of its customers.
Nissan hiring for Data Engineer
- Organization: Nissan
- Job Title: Data Engineer
- Salary: Up to 8 LPA (Expected)
- Batch: 2023/22/21/20/19/18
- Location: Trivandrum
- Experience: 0-2 yrs
Experience & Expertise:
- 0-2 years of total work experience.
- B Tech or M Tech in Computer Science, Information Systems or related technology
- Quick & Excellent Problem-solving skills for complex & large-scale distributed problems.
- Understanding about Relational databases, ETL design patterns and ETL development.
- Solid coding skills.
- Knowledge on software engineering best practices, data design patterns and standards.
- Knowledge, understanding & experience of working with data processing/ingestions tools and cloud data services.
- Knowledge on least one of the global cloud platforms AWS/Azure/Google Cloud.
Disclaimer: We cannot promise that the information on this page is totally correct (We only post the expected batches and salary)