Airbnb
Airbnb
„Airbnb“ valdo pasaulinę kelionių platformą, padedančią svečiams rasti ir užsisakyti įvairų apgyvendinimą – nuo privačių kambarių ir apartamentų iki ištisų namų bei butikinių viešbučių. Platformoje taip pat siūlomos vietinių šeimininkų organizuojamos patirtys, susiejančios keliautojus su veiklomis ne tik jų apgyvendinimo vietoje. Įmonė veikia kelionių, logistikos ir elektroninės prekybos srityse, rūpindamasi visame pasaulyje teikiamų apgyvendinimo bei patirčių paslaugų technologijomis ir veiklos procesais.

Senior Data Engineer, Payments

Build dependable data pipelines and analytics models for Airbnb AirCover’s insurance and protection programs. Support claims, financial reconciliation, experimentation, operations, and executive reporting.

Aprašymas

  • Build and maintain scalable data pipelines for AirCover products and operations.
  • Create analytics models and metrics for reporting, claims, operations, experimentation, reconciliation, and self-service analysis.
  • Work with software engineers and external data partners to turn source systems and partner feeds into reliable offline datasets.
  • Maintain the quality, consistency, accuracy, and documentation of critical AirCover data assets.
  • Strengthen pipeline reliability and observability through testing, monitoring, and engineering standards.
  • Collaborate across Product, Engineering, Operations, Finance, Analytics, and Data Science.
  • Help improve Airbnb’s data engineering tools, standards, and practices.
  • Develop foundational systems that can support new AirCover markets, products, and regulatory or partner needs.

Reikalavimai

  • At least six years of relevant industry experience in data engineering, software engineering, or a related field.
  • Strong experience designing and maintaining production-grade ETL or ELT pipelines.
  • Strong data modeling skills for business analytics and operational use cases.
  • Hands-on experience with Spark and distributed storage systems.
  • Strong SQL skills.
  • Proficiency in at least one data engineering language, such as Python, Scala, or Java.
  • Experience with workflow orchestration or ETL scheduling tools such as Airflow.
  • Experience handling structured and third-party data, including reconciling it and transforming it into reliable warehouse models.
  • Excellent written and verbal communication skills.
  • Sound judgment in data quality, documentation, ownership, and long-term maintainability.
  • Must reside in a state where Airbnb, Inc. has a registered entity.

Privalumai

  • Eligible for a bonus.
  • Eligible for equity.
  • Employee travel credits.
  • Benefits package.
  • Eligible to work remotely.
  • May occasionally work from an Airbnb office or attend offsites, as agreed with the manager.

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