Lead Database Engineer

• Experienced in managing and optimizing DB2 LUW databases on Linux and AWS Cloud environments • Strong expertise in utilities and command-line tools for administration, performance tuning, monitoring, backup/restore, and problem determination. • Monitoring database health using db2pd, db2top, db2mtrk and optimizing database performance, slow queries, indexing, replication, and storage utilization. • Experience in troubleshooting complex performance issues, optimizing SQL workloads, and automating day-to-day DBA operations using scripting language • Great understanding on of locking, isolation levels, concurrency, and row/page architecture • Configuring and maintaining DB2 registry variables, DBM CFG and DB CFG parameter and Managing instance, cataloging, and client configurations • Experience in implementing and managing online/offline backup strategies using db2backup and Performing restore, rollforward recovery, and PITR. • Data movement by using db2load, db2move, export/import, db2look for migration activities • Problem determination and troubleshooting by analysing DB2 diagnostic logs (db2diag.log) and issue resolution by using db2support, db2dart, db2fodc. • Adept at supporting high-availability production systems, performing DR drills, and collaborating with development and cloud teams to deliver stable and efficient DB2 environments. • Implement Infrastructure as Code (Terraform, CloudFormation, or CDK) for database resources. • Build automated health checks, failover tests, and data validation tools. • Implement encryption at rest and in transit using KMS and database-native encryption. • Manage IAM roles, database authentication, parameter groups, and secrets using AWS Secrets Manager or Parameter Store. • Enforce least privilege, auditing, logging, and compliance controls such as CIS, PCI, HIPAA, or SOC2. • Set up database monitoring using CloudWatch, Performance Insights, Enhanced Monitoring, or third-party tools. • Troubleshoot performance bottlenecks, connection issues, replication delays, and scaling challenges. • Conduct root cause analysis (RCA) and implement preventive measures. • Work with application teams to design optimal schemas and query patterns. • Collaborate with DevOps for CI/CD integration and automated database deployments.