Senior Big Data Infrastructure Engineer
At a glance
Senior Platform & Infrastructure role at Emerging Travel Group. Remote, Kazakhstan.
Pay not stated Platform & Infrastructure salary
devopsroles summary, based on the employer's posting.
What you'll do
- Take technical ownership of the international platform, including rollout and upkeep of HDFS, Apache Ozone, Iceberg and related services
- Support a pilot that reshapes a few large datasets into thousands of smaller tables
- Set compute and storage limits for business units and replace the default Iceberg catalog with Lakekeeper or Gravitino
- Rebuild monitoring and alerting to make infrastructure warnings actionable
- Exchange solutions with the engineer responsible for the parallel environment and provide cover when needed
What you bring
- At least five years designing, deploying and operating big data platforms
- Hands-on Hadoop and HDFS work covering setup, version changes and troubleshooting
- Experience running S3-compatible object storage and Apache Iceberg
- Experience building monitoring and alerting for data infrastructure, and English at B2 level
Who this fits
This suits an experienced engineer seeking technical ownership and a strong role in architecture decisions. The job is remote in Kazakhstan and requires availability within GMT+3, allowing up to a three-hour time difference. You’ll share responsibility for the stack with an engineer working in a parallel environment.
From the employer
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 Our infrastructure runs on the latest versions of everything, and we actively replace outdated tools.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.
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