Emerging Travel Group dezvoltă platforme online pentru rezervări și gestionarea călătoriilor, destinate călătorilor individuali, agențiilor de turism și clienților corporate. Tehnologia companiei conectează clienții și partenerii din industrie la un inventar extins de peste 2,9 milioane de unități de cazare, precum și la zboruri, servicii de transfer și închirieri auto în 190 de piețe sursă. De asemenea, compania îi ajută pe hotelieri să își îmbunătățească distribuția și să ajungă la clienți noi, combinând capabilități din domeniul ospitalității, logisticii și comerțului electronic pentru a sprijini rezervările de călătorii și colaborarea comercială.
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.
Descriere
- 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- Shape architecture decisions and replace outdated tools with current platform versions.
Cerințe
- 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.
Beneficii
- 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.