Nissan is hiring for Data Engineer role

Short Description:

The Data Engineer I position at Nissan's Trivandrum Digital Hub requires adhering to architectural guidelines, maintaining data quality standards, and delivering high-quality solutions within set timelines. Key responsibilities include writing scalable, maintainable code, participating in design discussions, and exploring new technologies. Preferred competencies include proficiency in data processing tools, cloud-based services, and relational databases, along with strong analytical and problem-solving skills. Ideal candidates are passionate about leveraging technology for innovative solutions, enjoy leading teams in an agile environment, and are data-driven with an eye for detail. Join Nissan to drive your career forward and contribute to shaping the future of automotive technology.

Position: Data Engineer I
Location: Nissan Digital Hub, Trivandrum, India
Time type: Full time
Job requisition id: R00124758

Introduction to Nissan

Nissan transcends the conventional notion of being just an automobile manufacturer; it embodies innovation. Combining groundbreaking ideas with performance, value, efficiency, safety, and style, Nissan continually produces cars that evoke excitement with every drive. With a global production of over 150 million vehicles, Nissan's mission is to enhance the lives of both its employees and customers.

About the Position

As a Data Engineer I at Nissan's Digital Hub in Trivandrum, India, you'll play a pivotal role in ensuring adherence to architectural guidelines, maintaining data quality standards, and delivering high-quality solutions within stipulated timelines. Your responsibilities will include writing scalable, maintainable, and testable code, participating in code reviews and design discussions, and embracing best practices in coding, design, and performance within your team. Additionally, you'll have the opportunity to explore and experiment with new and relevant technologies and tools.

Preferred Competencies

Proficiency in data processing tools (ETL), databases, and cloud-based data services and platforms.
Experience in developing ETLs or similar data solutions in the Cloud, preferably AWS.
Knowledge and experience in designing and implementing data solutions.
Strong analytical and problem-solving skills.
Understanding of distributed computing paradigms and open-source data processing frameworks.
Familiarity with relational databases, ETL design patterns, and development.
Expertise in data modeling, including Dimensional & transactional modeling using RDBMS, NO-SQL, and Big Data technologies.
Exposure to cloud data warehousing solutions like Snowflake and AWS Redshift.
Demonstrated capability in analytical thinking and problem-solving.
In-depth understanding of current and future data trends within the data ecosystem.
Aptitude to serve as a go-to person for the aforementioned technologies.

Experience & Expertise

0-2 years of total work experience.
Bachelor's or Master's degree in Computer Science, Information Systems, or related technology fields.
Proficiency in quick and excellent problem-solving skills for complex and large-scale distributed problems.
Understanding of relational databases, ETL design patterns, and ETL development.
Strong coding skills.
Knowledge of software engineering best practices, data design patterns, and standards.
Experience with data processing/ingestion tools and cloud data services.
Familiarity with at least one global cloud platform: AWS, Azure, or Google Cloud.

Ideal Candidate Attributes

Passion for leveraging technology to find simple solutions to complex problems.
Enjoyment in leading and collaborating with a passionate, multi-disciplinary team in an agile, fast-paced environment.
Data-driven and analytical approach, with a keen eye for detail while maintaining perspective on the big picture.
Willingness to share insights and lessons learned from past failures.

Please click here to apply.

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