
5001 - 10000 employees
Founded 2007
👥 B2C
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
B2C • eCommerce • Hospitality
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
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5001 - 10000 employees
Founded 2007
👥 B2C
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
B2C • eCommerce • Hospitality
Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.
• Design, implement, and operate resilient and scalable distributed systems & data pipelines • Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework • Work collaboratively with cross-functional partners, identify opportunities for business impact, refine, and prioritize requirements • Hands-on prototype, develop, productionize, and test solutions to existing and emerging fraud trends • Mentor other engineers in developing their technical and collaboration skills • Advocate and participate in efforts to advance Airbnb’s engineering processes and technical foundations
• 6+ years of relevant industry experience • BS/MS/PhD in Computer Science or equivalent technical field • Proficiency in one or more backend languages (Java/Ruby/Kotlin etc) • Expertise with data processing technologies and query authoring SQL • Experience in designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) • Familiarity with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks • Ability to analyze large data sets to identify gaps and inconsistencies • Ability to evaluate technical approaches and design product solutions to solve real-world problems • Experience with the Trust and Risk domain is a plus
• Bonus or incentives • One or more equity programs • Employee Travel Credits
Apply Now🔥 1 hour ago
5001 - 10000
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