Job Description
📋 Description Serve as the primary technical escalation point for database issues via email, tickets, and video. Triage issues, meet SLA targets, and use AI tools to resolve faster. Debug issues across relational DBs, data warehouses, data lakes; root-cause fixes. Reproduce bugs by inspecting logs, query plans, replication state. Onboard and troubleshoot SSH tunnels, network config, permissions, CDC setup. Develop database connectors with customers; work on CDC, schema evolution. 🎯 Requirements 2+ years in software engineering, data engineering, technical support, DevOps, QA, or similar. Fluency in SQL; hands-on experience investigating query plans, isolation levels, and performance bottlenecks. Proficiency in Java or Kotlin; read, write, and debug JVM-based connector code. Hands-on experience with relational databases, data warehouses, or data lakes; CDC, schema evolution, and query optimization. Experience with JDBC and common database drivers; debug connections, authentication, SSL, and SSH tunnels. Understanding of cloud platforms (AWS, GCP, Azure) and ELT/ETL concepts. 🎁 Benefits Flexible PTO with at least 25 days off annually. 16 weeks fully paid parental leave for all parents. Medical, dental, and vision coverage for employees and dependents. 401(k) retirement plan. Professional development budget, conference sponsorship, and book reimbursement. Commuter benefits and monthly internet reimbursement.
