Data Engineer

  • Chennai
  • Renault Nissan Technology Eamp; Business Centre India

About RNTBCI:

Renault Nissan Technology & Business Centre India (RNTBCI) is a captive automotive technology and business centre supporting Renault & Nissan globally.

Established in 2007, it is located in Mahindra World City, Chennai, India and employs over 8,000 employees. RNTBCI was bestowed with ISO 9001:
2015 certification in 2019 and ISO/IEC 27001:
2013 certification in 2020. RNTBCI contributes to technology requirements with dedicated teams for, Product Engineering, Process Engineering, Research & Advanced Engineering, After-Sales Engineering, Business requirements.


Qualification

  • 3-10 Years of overall IT experience with minimum of 4+ years of experience in big data technologies and build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Graduate in Computer Science, Informatics, Information Systems or other quantitative field
  • Data Engineering Certification from GCP.
  • Job Description

    • Partner with Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood and aligned with business strategy
    • Identify, design, and implement internal process improvements:
      automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Lead a team of Data Engineers with work load management and mentor the team on technical challenges
    • Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment
    • Support to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
    • Create data engineering tools for faster data transformation and data lake loading
    • Identify the challenges faced in DLL and propose & Implement solution
    • Work with stakeholders including the Product Owner, Product Leader, Chapter Leader, Scrum Master, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.


    Skills/Tools/Techniques

    • Hands on proficiency with big data tools:
      Hadoop, Hive, Spark & Scala
    • Experience in GCP cloud services:
      Google cloud storage, Big query, Spanner, Cloud Pub/Sub, stackdriver & Composer
    • Experience in CI/CD using GitlabEE
    • Experience with data pipeline and workflow management tools:
      Airflow, etc.