Data Engineer, Urban Mobility

Minimum Qualifications:

• Bachelor's degree in a technical discipline or equivalent practical experience.
• 3 years of experience in product and service based firms.
• Experience in producing readable, structured code in one or more core languages.
• Experience in design and manage ETL pipelines.
• Experience working with external technical partnership teams or client facing roles.

Preferred Qualifications:

• Experience with AI to drive automation for data pipelines and data quality.
• Experience working with both internal teams and external vendors.
• Ability to manage project timelines and deliverables.
• Excellent communication skills, with the ability to interact with executive stakeholders and convey complex concepts in a simple manner.
• Excellent stakeholder engagement skills.

About The Job

Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

Responsibilities

• Provide ongoing support for client users through maintenance of reports, queries, and dashboards. Size and plan for dependency changes (e.g., system migrations).
• Support product launches by understanding and influencing the product roadmap, anticipating partner issues, mitigating operational risks, and help resolve partner issues while driving exceptional partner satisfaction. 
• Partners cross-functionally to analyze root-causes of process errors, build mitigation strategies and recommend changes in workflows and tools.
• Deliver partner care experiences through automation and self service. Leverage AI to improve data ingestion and data quality.
• Provide post launch operational support including monitoring partner services and performance, ongoing issue resolution related to partner services, manage data transmission.