Renault Nissan Recruitment 2023 Hiring Freshers as Data Engineer of Any Degree Graduate

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Renault Nissan Recruitment 2023
Renault Nissan Recruitment 2023

Renault Nissan Recruitment 2023 Hiring Freshers as Data Engineer of Any Degree Graduate

Renault Nissan Recruitment 2023: Groupe Renault is a French multinational automobile manufacturer established in 1899. The company produces a range of cars and vans, and in the past has manufactured trucks, tractors, tanks, buses/coaches, aircraft and aircraft engines, and autorail vehicles.

Renault Nissan Recruitment 2023

Company: Renault–Nissan–Mitsubishi Alliance

Website: Renault Nissan

Wikipedia: Renault Nissan Wiki

Job Profile: Data Engineer

Degree Needed: B.E/B.Tech/M.E/M.Tech

Passout Year: 2020/2021/2022

Work Location: Thiruvananthapuram, Kerala

Package: Best In Industry

Experience Level: 0 – 2 Years

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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.

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Preferred Competencies:

  • Good knowledge and experience in data processing tools(ETL), data bases, cloud based data services and platforms.
  • Good experience in developing ETLs or similar data solutions in the Cloud to be deployed in AWS
  • Knowledge and experience in designing and implementing data solutions.
  • Strong analytical and problem-solving skills.
  • Knowledge about distributed computing paradigm.
  • Knowledge about open-source data processing frameworks and AWS data services.
  • Understanding about Relational databases, ETL design patterns and development.
  • Data modelling – Understanding about Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies.
  • Exposure to cloud Data warehouse like – Snowflake and or AWS Redshift preferred.
  • Demonstrate strong analytical and problem-solving capability.
  • Good understanding of the data eco-system, both current and future data trends.
  • Should be a go to person for the above technologies

Key Responsibilities:

  • Ensure that the guidelines laid out by the architect is adhered to.
  • Ensure adherence to data quality standards and ensure delivery with highest possible quality without compromising on the timelines.
  • Writing scalable, maintainable and testable code Participating in code reviews and design discussions.
  • Understand and follow best practices around coding, design, quality, performance in your team. Experiment with new & relevant technologies and tools

Apply Now: Click here

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