Description

By building scalable data pipelines and modular models, you will create the foundation for autonomous mobility while enabling teams across the organization to solve complex business challenges with data.

Requirements

• •Background in Data or Analytics Engineering
• •Passion for vehicle and fleet operations
• •Experience with DBT and data modeling
• •Proficiency with Cloud Services
• •Understanding of dimensional modeling knowledge
• •Experience implementing and orchestrating data pipelines
• •High self-organization and decision-making agency
• •Enthusiasm for knowledge sharing
• •Excellent stakeholder management and communication skills
• •Ability to identify data edge cases

Tasks

• •Collaborate cross-functionally to understand diverse data needs
• •Manage and evolve the central fleet data transformation framework
• •Provide clean, reliable datasets for analysts and scientists
• •Translate complex business questions into data models and KPIs
• •Maintain accurate dashboards to help teams meet analytics goals
• •Partner with stakeholders to solve business challenges using data
• •Support the Fleet.OS unit with data science expertise
• •Architect and build scalable data pipelines using DBT and SQL
• •Establish data quality frameworks through automated testing
• •Design modular and reusable data assets
• •Utilize Airflow for modern data orchestration
• •Implement CI/CD workflows with GitHub Actions
• •Develop Python automation solutions for the data platform
• •Bootstrap new data services with the Data Platform Team
• •Ensure data security and protection standards
• •Enable product teams to build their own data products
• •Provide onboarding sessions, consulting, and documentation
• •Pair with team members on complex coding challenges

Tools & Technologies

Benefits