Airbnb
Brazil14 days ago
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The Analytics Infrastructure team’s mission is to enable universal data-informed decision-making at Airbnb. We achieve this by providing an integrated suite of analytics frameworks, services and applications. We’re infrastructure and full stack engineers with a human focus: customer-centric, quality driven, helpful and empathetic.
As a backend / fullstack software engineer on the Analytics Products team (which is part of Analytics Infrastructure) you will have the opportunity to build data tools which enable data practitioners to efficiently explore and analyze data to create insights. The team manages data products used by 7,000 monthly active users, including our in-house build AI for Data product, BI product (Apache Superset) and Notebooks and their integrations within the Data Platform tooling, like Airbnb’s in-house build Metric system which enables metric consistency at scale.
The Difference You Will Make:
Shape up the future of AI powered Data Analytics at Airbnb. By working on improvements to our AI agent for Data, researching industry best practices and AI advancements, you will get to shape up and drive how our internal users get value from data.
Collaborate with other data platform teams to build integrations of our data tools with Airbnb's data platform’s ecosystem, like the metric infrastructure which enables metric consistency at scale, data management platform which enables data discovery and data management, data warehouse infrastructure and services, and more.
Continue to hold high quality bar for our data tools, to ensure high stability and reliability for Airbnb’s data practitioners.
A Typical Day:
Your Expertise:
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Grade
Senior
Experience
from 8 years
English Level
B2 - Upper-Intermediate
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