Emerging Travel Group
Emerging Travel Group
Emerging Travel Group व्यक्तिगत यात्रियों, ट्रैवल एजेंसियों और कॉर्पोरेट ग्राहकों के लिए ऑनलाइन बुकिंग और यात्रा प्रबंधन प्लेटफ़ॉर्म विकसित करता है। इसकी तकनीक ग्राहकों और उद्योग भागीदारों को 190 स्रोत बाज़ारों में 29 लाख से अधिक आवास विकल्पों के साथ-साथ उड़ानों, ट्रांसफ़र और कार किराये की व्यापक सूची से जोड़ती है। कंपनी होटल व्यवसायियों को अपने वितरण में सुधार करने और नए ग्राहकों तक पहुँचने में भी मदद करती है। इसके लिए यह हॉस्पिटैलिटी, लॉजिस्टिक्स और ई-कॉमर्स क्षमताओं को जोड़कर यात्रा बुकिंग और व्यावसायिक सहयोग को समर्थन देती है।

Remote Big Data Infrastructure Engineer

Lead the big data infrastructure for an international platform, including HDFS, object storage, and Iceberg. Shape platform architecture, quotas, catalogs, monitoring, and operational reliability.

विवरण

  • Lead big data infrastructure for an international platform and act as its technical lead.
  • Deploy, upgrade, and operate core services such as HDFS, S3-compatible Apache Ozone storage, and Iceberg.
  • Support a pilot that converts a few very large datasets into thousands of small tables.
  • Set compute and storage quotas for business units.
  • Move from the default Iceberg catalog to a more capable option, such as Lakekeeper or Gravitino.
  • Redesign monitoring and alerting to make notifications actionable.
  • Work closely with an engineer operating the same stack in a parallel environment, sharing solutions and providing mutual coverage.
  • Shape architecture decisions and replace outdated tools with current platform versions.

आवश्यकताएँ

  • At least five years of experience designing, deploying, and operating big data platforms.
  • Practical experience deploying, upgrading, and troubleshooting HDFS or Hadoop.
  • Practical experience deploying and operating S3-compatible object storage; Apache Ozone is preferred, while MinIO or similar tools are also suitable.
  • Experience with Apache Iceberg.
  • Experience implementing monitoring and alerting for data infrastructure.
  • English proficiency at B2 level.
  • Availability to work in the GMT+3 time zone, within a difference of up to three hours.
  • Preferred: Experience with Trino, Kafka, or Flink.
  • Preferred: Experience with Iceberg REST catalogs such as Lakekeeper, Gravitino, Polaris, or similar.
  • Preferred: Experience implementing resource quotas and cost allocation for multi-tenant data platforms.
  • Preferred: Hands-on use of AI tools, such as Copilot or agents, to work more efficiently.

लाभ

  • Flexible working hours and the option to work remotely.
  • A driven, supportive team that values collaboration and shared growth.
  • Structured onboarding, an individual development plan, and regular team lectures and demos.
  • Internal programs for onboarding, training, soft-skill development, and leadership growth.
  • Partial reimbursement for external training and conference participation.
  • Corporate English classes, including group and individual lessons and conversation clubs with colleagues worldwide.
  • Discounted corporate rates on hotels and travel services.
  • MyTime Day Off: an additional paid day off.

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