Senior Data Quality Engineer Salla

Responsibilities

• Ensure availability and performance of database systems. As a DBRE you ensure applying engineering principles, operational discipline, and automation to ensure the long-term reliability and scalability of database systems.
• Automating database deployments, upgrades, and routine maintenance.
• Building self-service tools and platforms for developers to provision database environments
• Ensuring consistent configuration across all database instances
• Handling performance issues and maintaining database availability as environments grow
• Treating databases like code, using version control and automated pipelines
• Performance tuning and indexing. Expert in performance tuning, indexing strategies and architecture level improvements. Eagle eye on analyze slow queries, execution plans and system level performance (I/O, memory, CPU).
• Backup, disaster recovery and replication. Help design and execute robust backup and disaster recovery strategies and manage high availability features such as replication and failover. Automate backup scheduling and recovery procedures to meet RPO/RTO objectives.
• Monitoring and observability. Proactively monitor database performance, system health and workload trends using Prometheus, Grafana and similar metric tools. Develop metrics and dashboards to identify issues before they impact customers and own database observability.
• Automation and infrastructure as code. Develop and maintain automation for provisioning, patching, backups, schema changes and alerting using scripting (Python, Bash) or configuration tools. Embrace DevOps/SRE practices to minimize manual toil.
• Collaborate with development and SRE teams. Work closely with developers to refine schema design, assist with query tuning, improve data architecture and share best practices.
• Security and compliance. Enforce database security policies, perform audits and ensure data protection. Implement role based access, encryption, and compliance controls, and maintain audit logs.
• Capacity planning and scaling. Participate in capacity planning, load testing and forecasting to ensure the database platform meets current and future needs, balancing optimization with resource utilization.
• Incident response and root cause analysis. Lead incident management for database issues, conduct blameless post mortems, analyze recurring incidents to identify trends, and drive improvements to prevent future failures.
• Documentation and mentorship. Maintain up to date documentation (runbooks, architecture diagrams, KB articles) and share lessons learned. Provide mentorship to colleagues and advocate for architectural and operational improvements.
• Modern Approach: Operates within a DevOps model, working to break down database silos and empower developers with automated processes

• Manage and tune high-availability database and storage services including SQL & NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis, ClickHouse) and object storage platforms (MinIO, S3-compatible stores).
• Plan and execute backups, disaster recovery (DR), replication, and failover strategies for both data related services including any object storage to meet RPO/RTO targets.
• Optimize storage performance and cost implement multi-tier storage, cold/hot data separation, S3 offloading, bucket lifecycle policies, and data retention strategies.
• Expert in Kubernetes storage management deep understanding of StorageClasses, dynamic provisioning, CSI drivers, and the ability to perform advanced PersistentVolumeClaim (PVC) troubleshooting and recovery during peak production incidents with confidence (especially for stateful sets & mission-critical volumes).
• Hands-on with scaling and securing object storage clusters such as MinIO (erasure coding, distributed mode, TLS, access control), and integrating them with Kubernetes workloads for high-throughput data pipelines and application storage needs.
• Experience with block storage (EBS/io2/gp3), shared file systems (EFS, NFS), and hybrid approaches to achieve performance, resiliency, and cost-efficiency.