Big Data Infrastructure Engineer
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 t…
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Tech stack & skills
- Amazon S3
- Hadoop
- MinIO
- Trino
- Kafka
- Flink
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.
- 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).