Big Data Infrastructure Engineer

🔥 2 minutes ago

🌐 Kazakhstan, Georgia, +2 more countries – Remote

🇰🇿 Kazakhstan – Remote 🇬🇪 Georgia – Remote 🇷🇸 Serbia – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Emerging Travel Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

🏨 Hospitality

📦 Logistics

🛍️ eCommerce

Hospitality • Logistics • eCommerce

Emerging Travel Group is a leading provider of advanced online booking platforms tailored for individual travelers, travel agents, and corporate clients. They empower hoteliers to enhance visibility and attract a wider customer base through their comprehensive travel solutions, which include over 2. 9 million accommodations, flights, transfers, and car rentals across 190 source markets. With a focus on technology excellence, Emerging Travel Group serves a vast network of travel agencies and corporate clients, enabling seamless travel management and collaboration in the dynamic travel industry.

📋 Description

• Own the big data infrastructure of the international platform and serve as its technical lead. • Deploy, upgrade and operate core platform services including HDFS, S3-compatible object storage (Apache Ozone), Iceberg and others. • Help run an infrastructure pilot transforming a small number of very large datasets into thousands of small tables. • Introduce compute and storage quotas for business units. • Migrate from the default Iceberg catalog to a more capable catalog such as Lakekeeper or Gravitino. • Rebuild monitoring and alerting so alerts are meaningful. • Collaborate closely with an engineer running the same stack in a parallel contour; share approaches and solutions and provide mutual coverage. • Contribute to architecture decisions and actively replace outdated tools using the latest platform versions.

🎯 Requirements

• 5+ years of experience designing, deploying and operating big data platforms. • Hands-on experience with HDFS / Hadoop: deployment, version upgrades, troubleshooting. • Hands-on experience deploying and operating S3-compatible object storage. Apache Ozone is ideal, but MinIO or similar solutions also count. • Experience with Apache Iceberg. • Experience setting up monitoring and alerting for data infrastructure. • English B2. • Ability to work in the GMT+3 time zone (up to 3 hours difference). • Nice to have: Experience with Trino, Kafka or Flink. • Nice to have: Experience with Iceberg REST catalogs (Lakekeeper, Gravitino, Polaris or similar). • Nice to have: Experience setting up resource quotas and cost allocation in a multi-tenant data platform. • Nice to have: Hands-on use of AI tools, such as Copilot or agents, to speed up your work.

🏖️ Benefits

• Flexible schedules and opportunity to work remotely. • Ambitious and supportive team who love what they do, appreciate each other, and grow together. • A structured onboarding, a personal development plan, and regular internal lectures and demos from the team. • Internal programs for adaptation and training, development of soft skills, and leadership abilities. • Partial compensation for participating in external training and conferences. • Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. • Corporate prices on hotels and travel services. • MyTime Day Off - an extra non-working day without loss of compensation.