Airbnb
Airbnb
Airbnb pārvalda globālu ceļojumu platformu, kas palīdz viesiem atrast un rezervēt naktsmītnes — no privātām istabām un dzīvokļiem līdz veselām mājām un dizaina viesnīcām. Platformā tiek piedāvāti arī vietējo saimnieku organizēti piedzīvojumi, kas ceļotājus iepazīstina ar aktivitātēm ārpus naktsmītnes. Uzņēmums darbojas ceļojumu, loģistikas un e-komercijas jomā, nodrošinot tehnoloģijas un operatīvo darbību, kas visā pasaulē atbalsta naktsmītnes un piedzīvojumus.

Analytics Infrastructure Software Engineer (Remote, Brazil) at Airbnb

Build Airbnb’s analytics infrastructure, including Apache Superset, notebooks, and AI-powered data tools. Connect analytics products to Airbnb’s data platform and contribute to the open-source ecosystem.

Apraksts

  • Develop tools that help data practitioners explore and analyze data efficiently.
  • Advance Apache Superset through open-source work, engagement with internal users, and code contributions.
  • Connect data products with Airbnb’s platform, including metrics, data management, and warehouse infrastructure.
  • Keep data tools stable, reliable, and technically sound.
  • Develop features for Superset, AI for Data Chat, Notebooks, and data platform integrations.
  • Work with the Apache Superset community and contribute to the project.
  • Prepare, test, and release official Superset open-source versions for internal Airbnb use.
  • Partner with data platform teams to deliver integrations.
  • Gather user feedback, manage feature launches and migrations, and lead projects from start to finish.
  • Strengthen testing and observability, review code and designs, and identify quality and architecture improvements.
  • Provide light on-call support.

Prasības

  • At least five years of relevant full-time industry experience.
  • Expertise building backend services in Python.
  • Expertise in frontend development with HTML, CSS, TypeScript, and JavaScript; experience with modern frameworks such as React is a plus.
  • Hands-on experience with data, SQL, data engineering, or big data technologies such as Airflow, Spark, or Trino is a plus.
  • Experience developing internal applications, data infrastructure, or analytics engineering is a plus.
  • Commitment to high-quality code and robust systems, including observability and reliability.
  • Ability to lead cross-functional projects or migrations through partner and user alignment, collaboration, and rollout.
  • Interest in creating interactive user experiences and engaging with users.

Priekšrocības

  • The posting does not specify benefits or additional compensation.

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