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    <job>
      <externalid>ba30b234-c68</externalid>
      <Title>Senior Data Engineer, Payments</Title>
      <Description><![CDATA[<p>We&#39;re looking for a Senior Data Engineer to join our Payments team. As a critical part of our operations, you&#39;ll handle data related to compliance with Tax, Payments, and Legal regulations. You&#39;ll design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.</p>
<p>Your work will involve developing data models that enable the efficient analysis and manipulation of data for merchandising optimization, ensuring data quality, consistency, and accuracy. You&#39;ll also develop high-quality data assets for product use-cases by partnering with Product, AI/ML, and Data Science teams.</p>
<p>As a Senior Data Engineer, you&#39;ll contribute to creating standards and best practices for Airbnb&#39;s Data Engineering and shape the tools, processes, and standards used by the broader data community. You&#39;ll collaborate with cross-functional teams to define data requirements and deliver data solutions that drive merchandising and sales improvements.</p>
<p>To succeed in this role, you&#39;ll need 6+ years of relevant industry experience, a BE/B.Tech in Computer Science or a relevant technical degree, and hands-on experience in DSA coding, data structure, and algorithm. You&#39;ll also need extensive experience designing, building, and operating robust distributed data platforms and handling data at the petabyte scale.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Scala, Python, data processing technologies, query authoring (SQL), ETL schedulers (Apache Airflow, Luigi, Oozie, AWS Glue), data warehousing concepts, relational databases (PostgreSQL, MySQL), columnar databases (Redshift, BigQuery, HBase, ClickHouse)</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Airbnb</Employername>
      <Employerlogo>https://logos.yubhub.co/airbnb.com.png</Employerlogo>
      <Employerdescription>Airbnb is a global online marketplace for short-term vacation rentals, with over 5 million hosts and 2 billion guest arrivals.</Employerdescription>
      <Employerwebsite>https://www.airbnb.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/airbnb/jobs/7256787</Applyto>
      <Location>Bangalore, India</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
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