
5001 - 10000 employees
Founded 2007
✈️ Travel
📦 Logistics
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
Travel • Logistics • eCommerce
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
✈️ Travel
📦 Logistics
🛍️ eCommerce
💰 Post-IPO Equity on 2020-12
Travel • Logistics • eCommerce
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.
• Lead the design, implementation, and testing of data systems, from architecture to production • Build batch and real-time data systems that support business needs and critical products • Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices • Design and optimize data models to efficiently meet business and product requirements • Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions • Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems • Contribute to long-term data strategies and influence data engineering practices across the organization • Mentor and guide team members, fostering best practices for data quality and governance • Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage
• 9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD) • Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale • Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying • Proven track record of designing and optimizing batch and real-time data pipelines • Strong collaboration skills with the ability to work with product managers, data scientists, and engineers • Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability • Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts • Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery) • Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies • Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes
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