Big Data Infrastructure Engineer

Emerging Travel Group

. Own the big data infrastructure of the international platform and serve as its technical lead.

Posted 10/13/2026full-timeRemote • Kazakhstan, Georgia, Serbia, PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing, deploying, and operating big data platforms, with a strong focus on HDFS, S3-compatible object storage, and Apache Iceberg. Capable of implementing effective monitoring and alerting systems while collaborating with cross-functional teams to enhance infrastructure performance.

Highest-signal resume keywords

Big Data Platform DesignHDFS Deployment and TroubleshootingS3-Compatible Object StorageApache Iceberg ExperienceMonitoring and Alerting Setup

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Big Data Infrastructure ManagementHDFSApache OzoneIcebergMonitoring and AlertingTrinoKafkaFlinkResource Quotas SetupAI Tools Utilization

Tools & Technologies

Apache OzoneLakekeeperGravitinoPolarisMinIO

Industry Keywords

Data InfrastructureMulti-Tenant Data PlatformData TransformationCompute and Storage QuotasInfrastructure Pilot

Tech Stack

Tools & technologies

ApacheHadoopHDFSKafka

About the role

Key responsibilities & impact

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Contribute to architecture decisions and actively replace outdated tools using the latest platform versions.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

What you’ll need

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

Comp & perks

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.