Data Warehouse and Infrastructure Engineer

About the company

At Thrill Labs, we’re not just building a gaming company; we’re creating a global sensation. We are the innovative force behind , 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 and Infrastructure Engineer to evolve our data and infrastructure. You’ll sit at the intersection of database administration, data modeling, keeping our Click House 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.

• Tune Click House queries for performance and efficiency.

• Administer Click House settings, tables, and data structures (act as Click House DBA).

• Create and maintain data models and dashboards in Looker.

• Implement and monitor data quality checks and validations.

• Perform infrastructure work on Kafka, Zookeeper, Click House, 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.

• Working knowledge of Kubernetes.

• Experience with Docker and containerized environments.

• Experience with infrastructure as code (Terraform, Pulumi, Ansible, or equivalent).

• 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).

• Click House 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.

Join Thrill Labs, where your innovation fuels the evolution of gaming. This isn’t just another role; it’s your chance to impact a worldwide phenomenon. If you’re driven to redefine limits and craft a legendary brand, you belong here.