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Cloud Platform Engineer

Toyota Motor Corporation

Plano, Texas, 75024

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Salary:

$75000 - $130000 Year

Job type:

Monday to Friday

Job Schedule:

Day shift

Job benefits:

Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others

Description:

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently.

Who we’re looking for

Toyota’s Data and Analytics Department is looking for a passionate and highly motivated Cloud Platform Engineer.

The primary responsibility of this role is to engineer a best-in-class enterprise Data Platform with cutting-edge technologies guided by principles of Agility, DevSecOps, and continuous innovation. This is an individual contributor role that requires working with cross-functional teams across the company to ensure the big data platform is built for adoption with high standards of performance, and scalability while optimizing the cost and using emerging technologies in the Data universe.

Reporting to the Sr Manager of Data Delivery, the person in this role will support the Data and Analytics department's objective to enable data-driven decision-making in our journey towards creating mobility for all.

What you’ll be doing

Design and develop highly scalable and state-of-the-art big data solutions in AWS and GCP to enable advanced analytics capabilities in the company
Design and build scalable data pipelines with optimal data ingestion, extraction, transformation, and loading (ELT, ETL) of data from a wide variety of data sources using Big Data and Integration technologies.
Develop data models and features required for data scientists to build data science models.
Perform design, feature, and code reviews to drive excellence in engineering and ensure high quality & maintainability.
Support the build of analytics tools that utilize the data pipeline to provide actionable insights for business stakeholders, including data preparation for predictive and prescriptive modeling.
Be current on the latest industry developments and trends to help lead the development of system/process improvements.
Collaborate with Product owners, Data Scientists, Platform Teams, Business SMEs as well as different sub-groups within the Data organization to effectively lead data and analytics solutions.
What you bring

Bachelor’s degree in information systems, Computer Science, or related discipline or equivalent work experience
2-5 or more years of proficient experience in Cloud Engineering (AWS): infrastructure automation with Terraform or Cloud Formation, VPC connectivity, Route53, API gateways, Lambda, SNS, EC2/ECS, Airflow, Elastic Cache, CloudWatch, CloudTrail, KMS, etc.
2-5 years of demonstrated experience in developing big data solutions that support business analytics and data science teams.
Experienced in DevOps and deployment automation with Jenkins, Ansible, Docker, Kubernetes, Chef, XL Release and XL Deploy
Knowledge of Data platforms and Engineering solutions with Spark, SQL, Python, Java, Scala-Spark, Bash, and scripting languages
Knowledge of Cloud Data technologies: AWS EMR, Apache Spark, Databricks, RDS, Postgres, AWS Redshift, Snowflake, S3, GCP Big Query, Google Cloud Storage and Google Data Proc
Ability to research the latest trends and propose advanced tooling/solutions for data virtualization & digital twin concepts.
Added bonus if you have

Master’s degree in computer science or related discipline
AWS/GCP cloud certifications
AWS/GCP Data Engineering certifications
Experience with Automobile and/or Manufacturing organizations
What we’ll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

A work environment built on teamwork, flexibility, and respect
Professional growth and development programs to help advance your career, as well as tuition reimbursement
Vehicle purchase & lease programs
Comprehensive health care and wellness plans for your entire family
Flextime and virtual work options (if applicable)
Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
Paid holidays and paid time off
Referral services related to prenatal services, adoption, childcare, schools, and more
Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
Belonging at Toyota

Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. As a company that has been one of DiversityInc’s Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and woman-owned suppliers for over 10 years, we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business.



Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question or need assistance with your application? Please send an email to talent.acquisition@toyota.com.

Skill:

Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others

Others Requirements:

2 years
3 years

Category:

Manufacturing

Positions:

On going position

Location:

In-person