Required Skills

Python

Work Authorization

  • Us Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 26th Jan 2022

JOB DETAIL

#205: Data Engineer: 1 Position. 6 Month+ Contract with likely extensions. The Hirevue for this position has verbal questions and one Python coding challenge. This position will consider 100% remote candidates from anywhere in US and Canada.

The Toyota Data Services Platform enables Toyota cars to communicate to the cloud and powers our engineering and data science teams to build efficient streaming solutions, smart analytic products and dashboards. We are looking for a Data Engineer for our Labs team to help make these data pipelines more efficient and contribute to the design and development of data services for the customers of this platform.

Required Skills – Must have all of these skills to be considered:

 

  • Skilled in Python and preferably in one or more programming languages like C++, Java, Go, etc
  • 3+ years of collective experience in data engineering and data analysis
  • 2+ years of experience architecting, building and administering large-scale distributed applications
  • Experience with Docker
  • Experience working with SQL and NoSQL based database solutions
  • Public cloud technology experience in production (Azure, AWS, or Equivalent)

Responsibilities:

  • Operate in a highly-iterative Agile development environment
  • Engineer efficient, adaptable and scalable data pipelines in cloud to process unstructured big data
  • Think independently to solve difficult data problems
  • Work closely with product owners and other team members to deliver next generation connected car data services
  • Build data expertise and own data quality for ingestion pipelines
  • Make information available to large scale, next generation, predictive analytics applications
  • Design, build and launch new data extraction, transformation and loading processes in production
  • Develop and recommend innovative solutions and approaches to solving business and technical problems
  • Standardize terminology and transformation of data through the architectural zones

 

Company Information