Data Automation Engineer

As a Data Automation Engineer at Woven by Toyota, your primary responsibilities include designing and implementing scalable data automation workflows that support advanced driver assistance systems (ADAS). You will engage in backend software development, optimize components for end-to-end automation, and collaborate closely with product teams to enhance workflows and user experience. Additionally, you will mentor junior developers, ensuring best practices are maintained throughout the software lifecycle.

To qualify for the Data Automation Engineer position at Woven by Toyota, candidates should hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, along with at least 3 years of professional experience in backend software development and data pipelines. Proficiency in Python, SQL, data schema design, and cloud computing platforms like AWS or Azure is essential, along with strong problem-solving and communication skills.

Woven by Toyota is committed to the development of its employees, particularly for roles like Data Automation Engineer. We encourage mentorship within our teams, allowing experienced engineers to guide and support junior developers. Furthermore, we promote continuous learning and professional growth through collaborative projects and a culture that values innovation, ensuring that employees have the tools and resources needed to advance their skills.

As a Data Automation Engineer at Woven by Toyota, you will work with a range of technologies, including Python for data processing and analysis, SQL for database management, and various data formats such as pydantic, protobufs, and JSON. You will also engage with cloud computing services like AWS or Google Cloud, developing and optimizing ETL pipelines and automation workflows that are crucial for our advanced mobility systems.

Woven by Toyota offers a comprehensive benefits package to its Data Automation Engineers, including excellent health, dental, and vision coverage, a rewarding 401k program, and a flexible vacation policy. Additionally, we provide family planning and care benefits, ensuring that our employees are supported in both their personal and professional lives, fostering a modern and inclusive work environment.

When answering this question, share specific projects where you designed and implemented data automation workflows, focusing on the technologies utilized, the challenges faced, and how your solutions improved efficiency. Discuss your approach to data ingestion and transformation, and highlight any impact these workflows had on decision-making or operational processes.

In your response, emphasize the importance of validation checks at various stages of the ETL process. Talk about the tools and techniques you use for monitoring data quality, identifying discrepancies, and maintaining accurate datasets. Mention your knowledge of automated testing and quality assurance practices that enhance reliability.

Provide examples of your experience with SQL, highlighting specific projects where you created or optimized database schemas. Discuss your understanding of performance optimization techniques and how you've implemented them to facilitate efficient data retrieval and storage, ensuring your designs support the needs of backend services.

When answering this question, share a specific instance where collaboration with product teams or other departments improved project outcomes. Detail how you facilitated communication, addressed conflicting priorities, and the resulting impact on workflow efficiency or product development, showcasing your teamwork skills.

Explain your proactive approach to staying informed about new technologies, trends, and best practices in data automation. Mention attending conferences, participating in webinars, following industry leaders on social media, or engaging in continuous learning through online courses or certifications, demonstrating your commitment to personal and professional development.

Discuss specific performance optimization strategies you've employed, such as caching mechanisms, query optimizations, or parallel processing. Provide examples where these strategies led to significant improvements in processing speeds or system responsiveness, showcasing your analytical skills and experience in system enhancements.

Outline your mentoring approach by sharing a specific scenario where you guided a junior developer through a project. Discuss the strategies you used to impart knowledge, offer feedback, and encourage their growth. Highlight the outcomes of your mentoring, including how it benefited the junior developer and the team.

Discuss your strategies for managing stress and meeting tight deadlines, such as prioritizing tasks, creating structured work plans, and effective time management. Provide anecdotes that illustrate how you maintained quality under pressure while delivering results on time, emphasizing your adaptability and resilience.

Share your insights on the critical role of data analytics in automated driving systems, discussing how real-time data analysis informs decision-making, enhances safety protocols, and improves overall system performance. Emphasize the importance of continuous feedback loops in refining algorithms and driving innovation in the sector.

Articulate your experience with version control systems like Git, highlighting how they facilitated collaboration within your past teams. Discuss how these tools helped manage code changes, fostered teamwork through branching and merging, and provided a safety net for reversing mistakes, ultimately enhancing project outcomes.