United Software Group Inc is seeking a Capacity Engineer with Data Engineering expertise. This role focuses on ensuring infrastructure scalability to meet user demand while balancing performance and cost, involving the development of robust data pipelines and analytical models for forecasting and decision-making.
Responsibilities:
- Design and maintain ETL/ELT pipelines to collect, transform, and store infrastructure usage data
- Build models to analyze system metrics and predict future resource needs
- Analyze historical usage patterns to predict CPU, memory, and storage requirements
- Simulate traffic spikes to identify bottlenecks and ensure systems scale linearly
- Optimize resource allocation to avoid unnecessary costs while maintaining service availability
- Use Infrastructure as Code (IaC) tools like Terraform to automate scaling and provisioning
- Collaborate with software teams to flag single points of failure and ensure resilient service design
Requirements:
- 3-4 years of experience with Data Engineering Stack: SQL, Python, Spark, Airflow for data processing and orchestration
- Experience with Monitoring & Observability tools: Prometheus, Grafana, Datadog
- Experience with Chaos Engineering: Test system resilience under stress
- Experience with Infrastructure as Code: Terraform, Ansible, Harness
- Strong background in data engineering and SRE practices
- Hands-on experience with capacity planning, forecasting, and scaling
- Proficiency in IaC tools (Terraform, Ansible, Harness)
- Experience with data pipelines, ETL/ELT frameworks, and big data tools
- Familiarity with monitoring/observability platforms (Prometheus, Grafana, Datadog)
- Knowledge of chaos engineering and resilience testing
- Excellent collaboration and communication skills