Big Data Infrastructure Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 21h ago
The date the source published, not the day we noticed it (2026-10-12). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Kazakhstan, Georgia, Serbia, Poland
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $149.2k–208.2k/yr
Middle 50% of 74 listings that do state pay — Engineering · all levels · Georgia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 1h ago · last seen just now
The listing
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 Our infrastructure runs on the latest versions of everything, and we actively replace outdated tools.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.
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.
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.