Senior Big Data Infrastructure Engineer

Emerging Travel Group; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible schedule

Remote work option

Travel discounts for hotels

Job summary

Emerging Travel Group is seeking a Big Data Infrastructure Engineer to own and advance our international data stack. You will deploy, upgrade and operate core services such as HDFS, S3-compatible storage, and Iceberg, guiding the platform's evolution and performance.

You will lead infrastructure pilots, set quotas, migrate catalogs to Lakekeeper or Gravitino, and rebuild monitoring and alerting. Collaboration with a parallel stack engineer is essential.

Qualifications

• 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).

Responsibilities

• Own the big data infrastructure of our international contour and be its technical lead.
• Deploy, upgrade and operate core services: HDFS, S3-compatible storage, Iceberg.
• Run an infrastructure pilot and scale datasets into thousands of tables.
• Introduce quotas for compute and storage across business units.
• Migrate Iceberg catalog to Lakekeeper or Gravitino.
• Rebuild monitoring and alerting to improve alert quality.
• Collaborate with a parallel-stack engineer and share approaches.

Skills

Big data architecture

Data platform design

Monitoring & alerting

HDFS/Hadoop

S3-compatible storage

English communication

Cross-team collaboration

Tools

Apache Iceberg

Apache Ozone

MinIO

Trino

Kafka

Flink

Iceberg REST catalogs

Job description

As a Big Data Infrastructure Engineer in the Big Data Platform team, you’ll own the big data infrastructure of our international contour and be its technical lead. You’ll deploy, upgrade and operate the core services of the platform: HDFS, S3-compatible object storage (Apache Ozone), Iceberg and others. You’ll start by helping run an infrastructure pilot that changes how the platform is used: a small number of very large datasets will become thousands of small tables. You’ll introduce compute and storage quotas for business units, migrate us from the default Iceberg catalog to a more capable one (Lakekeeper or Gravitino), and rebuild monitoring and alerting so alerts mean something again. You’ll work closely with an engineer who runs the same stack in a parallel contour. You’ll share approaches and solutions with them and cover for each other. Our infrastructure runs on the latest versions of everything, and we actively replace outdated tools. The role suits an experienced engineer who wants real ownership and a big say in architecture.

• 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.

• 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.