• 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).
• Bonus Points for (but could be developed on the job):
• 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.