Data Warehouse Engineer

At Thrill Labs, we're not just building a gaming company; we're creating a global sensation. We are the innovative force behind Thrill.com, a groundbreaking crypto gaming venture set to launch soon! Our mission? To build the world’s most epic gaming brand and craft magical experiences for millions of users. Backed by a world-class team, we’re here to redefine the future of gaming.

We're looking for a hands-on Data Warehouse Engineer to evolve our data. You'll sit at the intersection of database administration, data modeling, keeping our ClickHouse stack performant, our Looker dashboards reliable, and our infrastructure trustworthy.

We're already operating at scale, and the data layer is critical to how we understand our product and our players. If you enjoy deep technical ownership, thrive in fast-moving environments, and care about data quality as much as query performance, we'd love to hear from you.

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  Tune ClickHouse queries for performance and efficiency.

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  Administer ClickHouse settings, tables, and data structures (act as ClickHouse DBA).

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  Create and maintain data models and dashboards in Looker.

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  Implement and monitor data quality checks and validations.

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  Perform infrastructure work on Kafka, Zookeeper, ClickHouse, and the Kubernetes stack.

• Hands-on experience tuning queries in relational databases.

• Proven database administration experience.

• Strong SQL, including window functions and analytical queries.

• Working knowledge of Kafka: topics, partitions, offsets, and delivery guarantees.

• Familiarity with Linux CLI and shell scripting for troubleshooting and automation.

• Experience with Docker and containerized environments.

• Understanding of data modeling concepts and data lifecycle management.

• Proficiency with Git and version control workflows.

• Experience implementing backup/restore strategies for large datasets.

• Good command of English (at least B2 equivalent).

• ClickHouse administration and advanced query tuning.

• Looker administration and LookML modeling.

• Experience with data quality frameworks and cross-checks.

• Administration of Kafka, Kafka Connect, and Zookeeper clusters.

• Knowledge of OLAP/DWH concepts (staging, marts, star/snowflake schemas, Kimball/layering).

• Monitoring setup experience (Grafana, Prometheus, or similar).

• Experience with infrastructure migrations and IaC automation.

• End-to-end understanding of data pipelines and analytics modeling.