Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, TN, (job flexibility benefits) (also known as I-140 or Adjustment of Status portability), etc.) now or in the future.
You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.
T h e Toyo t a F i n a n ci al Serv ic es Site Reliability Engineering i s l ook i n g for a p ass i o n at e a n d h ig h l y m o t i v at ed Production Data Engineer . Reporting to the Manager of Production Engineering, the individual in this role will play a pivotal role in troubleshooting and resolving complex technical issues for financial software and systems, acts as an escalation point for frontline support, and collaborates with product and engineering teams to improve the product.
Additionally, the engineer will collaborate closely with the Major Incident Management team to address and resolve production environmental issues
- Act as the primary point of contact for production support, managing and resolving tickets across various business units.
- Triage and prioritize support tickets based on urgency and impact.
- Conduct root cause analysis and apply critical thinking to solve complex problems.
- Analyze trends in support tickets to proactively identify recurring issues and implement long-term solutions.
- Document processes, resolutions, and recurring issues for knowledge management and training purposes.
- Suggest and implement improvements to processes to reduce ticket volume and enhance efficiency.
- Monitor system performance and proactively address potential issues.
- Collaborate with the Major Incident Management team to address and resolve critical issues in the production environment.
- Bachelor’s degree in information technology or related field.
- Experience building and supporting full-stack data engineering solutions.
- Experience developing reusable and scalable data frameworks.
- Experience understanding functional and non-functional requirements gathering.
- 3+ years of experience designing and implementing data pipelines across multiple systems and platforms.
- 5+ years of experience of data and systems engineering principles across the data lifecycle.
- 4+ years of experience working with operational and analytical workloads.
- Familiarity with Enterprise Data Warehouse, ETL, and Data Management concepts and processes.
- Experience working with cloud-based, analytical, distributed, and open-source technologies.
- Hands-on experience with AWS, Snowflake, MongoDB, and PostgreSQL.
- Familiarity to Optimize cloud resource usage and cost through rightsizing and autoscaling configurations.
- 4+ years of experience to Automate operational tasks and incident response using scripting and infrastructure as code (Terraform, CloudFormation).
- Ability to navigate through UI and understand end – end process
- Experience successfully analyzing and documenting complex business processes
- Experience writing and optimizing advanced SQL and PL/SQL queries and stored procedures for efficient data processing and transformation.
- A work environment built on teamwork, flexibility and respect
- Referral services related to prenatal services, adoption, childcare, schools and more
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.