OverviewWho we're looking forThe Toyota Financial Services Site Reliability Engineering is looking for a passionate and highly motivated 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
What you'll be doing- 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.
What you bring- Bachelor's degree in information technology or related field.
- Excellent troubleshooting and problem-solving skills.
- Strong communication and collaboration skills.
- 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).
Added bonus if you have- Knowledge of networking and security principles.
- Ability to navigate through UI and understand end - end process
- Experience successfully analyzing and documenting complex business processes
- Knowledge of Agile/Lean framework and methodology
- Proficiency in either Python, Java, and SnowSQL.
- Experience using GitHub, Gradle, Maven, and Jenkins.
- Experience writing and optimizing advanced SQL and PL/SQL queries and stored procedures for efficient data processing and transformation.
What we'll bringDuring 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
- Flexible spending accounts
- Relocation assistance (if applicable)
