We are a series-A startup building perception systems for autonomy. We are based in the San Francisco Bay Area, funded by NEA, and our core team includes faculty entrepreneurs (Stanford and UC Santa Barbara) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber, led the development of state-of-the-art computer vision technologies that shipped over millions of Amazon devices, and delivered zero-to-one product experiences at Uber and Box. Our core product grew out of 5+ years of university R&D by our co-founders. We have built a disruptive Tagless Activity Tracking platform to revolutionize the world of industrial automation using Spatial Intelligence. You can find out more about us by visiting our website.
We are seeking a Senior Data Engineer with over 5 years of relevant experience to join our growing team. The ideal candidate will have a deep understanding of the design, development, and maintenance of ETL pipelines, will be confident working with time-series data, and will have some prior experience with business analyst or business intelligence functions.
Core Responsibilities & Qualifications:
- ETL Pipeline Design and Development: Work closely with our Head of Product to create and maintain complex ETL data pipelines using SQL and PySpark, while ensuring data quality. Familiarity with Databricks is preferred.
- Time-Series Data Processing: Prior experience in normalizing, aggregating, aligning, correlating, and processing time-series data from sensors, machines, and processes.
- Production Data Product Experience: Demonstrated ability to work on the production of data products, including handling data quality issues, orchestration and automation, and testing.
- Software Development Practices: Show excellent software development practices.
- Coding Skills: Proficiency in Python, SQL, and Java or other backend languages. Familiarity with cloud platforms like AWS, GCP or Azure is a plus.
- Communication Requirements: Effective communication skills, both verbal and written, to clearly explain complex data concepts to non-technical team members and stakeholders.
- Team Collaboration: Proven experience working effectively in cross-functional teams, demonstrating a collaborative mindset.
Preferred Qualifications:
- Deep Domain Engagement: A fervent willingness to understand Plato Systems' domain. Success in this role hinges on grasping the nuances and intricacies of our domain to offer relevant and impactful data solutions.
- Autonomy & attention to detail: Derived tables that feed dashboards and analytics are only useful if they contain clean high quality data. This requires good judgment to find the right balance of unit tests, integration tests, regression tests, and monitoring / alerting to ensure data flow and its quality.
- Data Visualization & Reporting: Ability to create and sustain automated reporting, dashboards, and consistent analysis to bolster data-driven decisions within and across teams.
- Business Insights Generation: Identify and articulate key business insights, utilizing statistical analysis.
Versatility of Prior Work: Experience working in different industries or domains, showing flexibility and ability to adapt to new types of data and/or business domains.
