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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second r esponse times and a mesh of supplier payment options like virtual credit cards.
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Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ) Your dual expertise in backend and data engineering will play a crucial role in optimizing our financial technology solutions and driving informed business decisions through reliable data insights.
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It ’ s a hot field and the perfect mix of data engineering and backend engineering. Design, develop and maintain platforms and data pipelines across fintech. In this role, you will not only develop robust backend systems but also architect and maintain scalable data pipelines and storage solutions that support complex data collection, processing, and analysis.
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Uses a metrics driven approach and can make informed decisions using data. Fintech is one of the fastest growing areas in Agoda and we are rapidly expanding our tech team. Leadership at Agoda isn’t just managing tasks but inspiring innovation and driving vision into reality.
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
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We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
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Agoda is an online travel booking platform for accommodations, flights, and more. Employment at Agoda is based solely on a person’s merit and qualifications. To all recruitment agencies: Agoda does not accept third party resumes.
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5+ years in Data Analyst position or otherwise in projects involving big data. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels.
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Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel. Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as R studio or Tableau.
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The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. Experience in data science for e-commerce and/or OTA.
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Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
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4+ years hands-on data science experience. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
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