Performance & Data Optimization Engineer

Key Responsibilities: Tune SQL, databases, ETL/ELT pipelines, data models, and cloud data workloads. Optimize query execution, indexing, partitioning, caching, and clustering. Diagnose CPU, memory, disk, network, I/O, concurrency, and pipeline bottlenecks. Establish performance baselines, SLAs, dashboards, monitoring, and alerts. Perform workload analysis, capacity planning, scaling, and cost optimization. Support AWS infrastructure and modern data platforms. Implement Terraform/IaC and CI/CD automation. Support DevSecOps, secrets management, security scanning, HA/DR, and automated failover. Perform log/metric analysis and full-stack troubleshooting. Partner with DBAs, platform engineers, architects, and data engineers.

Qualifications: 5+ years systems/cloud/performance engineering. Strong AWS experience. Strong SQL and database performance tuning. Query optimization, indexing, partitioning, and execution-plan analysis.

Terraform/Cloud: Formation or comparable IaC.CloudWatch, Datadog, Prometheus, Grafana, New Relic, or similar. Python/Bash/PowerShell. CI/CD, DevSecOps, containers. Experience with Databricks, Redshift, PostgreSQL, SQL Server, Oracle, Snowflake, or similar preferred.