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Senior Data Engineer, Guest & Host

3 days, 18 hours ago
India
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark ClickHouse Flink GCP Java Kafka Luigi MySQL PostgreSQL Python Scala SQL
Apply Now
Airbnb

Airbnb

Airbnb is the world's largest community-driven hospitality company, offering homes and experiences in 191 countries. It is an online marketplace connecting people to unique accommodations and experiences globally.

Hotels, Restaurants & Leisure
5K-10K
Founded 2008
View All Jobs 141

Description

  • Design, build, and maintain robust data pipelines that ingest, process, and store data from multiple sources.
  • Develop data models that support merchandising optimization and efficient data analysis.
  • Build scalable data pipelines using SparkSQL, Scala, and the Airflow scheduler/executor framework.
  • Collaborate with Data Scientists, Product Managers, and Software Engineers to define data requirements and deliver solutions.
  • Support supply onboarding, regulatory compliance, AI-assisted vetting, and listing quality enforcement through data platform work.
  • Improve code and data quality by leveraging internal tools to detect and mitigate issues automatically.
  • Contribute to Airbnb’s broader Data Engineering community to influence tooling, standards, culture, and productivity.

Requirements

  • 6+ years of relevant industry experience.
  • BE/B.Tech in Computer Science or a relevant technical field.
  • Extensive experience designing, building, and operating robust distributed data platforms such as Spark, Kafka, Flink, or HBase.
  • Experience handling data at petabyte scale.
  • Strong knowledge of Java, Scala, or Python, plus SQL for data processing and query authoring.
  • Experience with ETL schedulers such as Apache Airflow, Luigi, Oozie, or AWS Glue, or similar frameworks.
  • Solid understanding of data warehousing concepts.
  • Hands-on experience with relational databases such as PostgreSQL or MySQL and columnar databases such as Redshift, BigQuery, HBase, or ClickHouse.
  • Demonstrated ability to analyze large datasets to identify gaps and inconsistencies and provide data insights.
  • Excellent written and verbal communication skills.

Benefits

  • Annual base pay range of ₹4,500,000 to ₹6,500,000 INR.
  • Eligibility for bonus or incentive compensation.
  • Eligibility for one or more equity programs.
  • Access to benefits.
  • Employee Travel Credits.

Interested in this position?

Apply directly on the company website

Apply Now

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