Data Engineer with capacity planning

Resource Logistics Inc. is seeking a Data Engineer with strong Site Reliability Engineering expertise in capacity planning. This role focuses on ensuring infrastructure scales efficiently to meet user demand while building robust data pipelines and analytical models for forecasting and decision-making.

Responsibilities:

• Ensure our infrastructure scales efficiently to meet user demand, balancing performance with cost
• Forecast growth, analyze usage trends, and automate resource provisioning to prevent outages, over-provisioning, or under-provisioning
• Build robust data pipelines and analytical models to support forecasting and decision-making

Requirements:

• 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