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Senior Big Data Infrastructure Engineer

Emerging Travel GroupRemoteУдалённоот 5 летflexible
KafkaHadoopS3Big DataIcebergTrinoMonitoringHDFSMinIOAlertingApache Ozone

Описание

The role is a senior big data infrastructure engineering position in a Big Data Platform team, responsible for deploying, upgrading, and operating core services such as HDFS, S3-compatible object storage, and Apache Iceberg. It includes leading an infrastructure pilot, introducing quotas, migrating Iceberg catalogs, and rebuilding monitoring and alerting.

Responsibilities

  • Own the big data infrastructure of our international contour and be its technical lead
  • Deploy, upgrade and operate the core services of the platform: HDFS, S3-compatible object storage (Apache Ozone), Iceberg and others
  • Help run an infrastructure pilot that changes how the platform is used: a small number of very large datasets will become thousands of small tables
  • Introduce compute and storage quotas for business units
  • Migrate us from the default Iceberg catalog to a more capable one (Lakekeeper or Gravitino)
  • Rebuild monitoring and alerting so alerts mean something again
  • Work closely with an engineer who runs the same stack in a parallel contour
  • Share approaches and solutions with them and cover for each other
  • Actively replace outdated tools as our infrastructure runs on the latest versions of everything

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
  • Experience with Iceberg REST catalogs (Lakekeeper, Gravitino, Polaris or similar)
  • Experience setting up resource quotas and cost allocation in a multi-tenant data platform
  • Hands-on use of AI tools, such as Copilot or agents, to speed up your work

We offer

  • 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