SENIOR DATA ENGINEER REQUIREMENTS:

• 8+ years experience with BI tools (Power BI, Tableau, Amazon QuickSight).
• 8+ years in data engineering (ETL, data transformation, automation).
• Strong background in AWS services and console navigation.
• Python and Terraform for automation.
• Strong analytical skills to interpret AWS billing and usage data.

• AWS Cost Optimization & FinOps Analysis
  o Analyze AWS spend data to identify cost-saving opportunities.
  o Work with AWS Cost Intelligence Dashboards to customize and extend their functionality.

o Interpret AWS billing and usage reports to provide actionable insights.

• Business Intelligence (BI) Development & Dashboarding

• • Develop, maintain, and enhance BI dashboards in Amazon QuickSight (and potentially Power BI, Tableau).
• Create new dashboards (50%) and maintain/improve existing dashboards (50%).
• Generate reports and data visualizations to support FinOps decision-making.
• Data Engineering & Automation
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• Work with AWS services to extract, transform, and load (ETL) data.

• Use Python and Terraform to automate data pipelines, infrastructure, and reporting processes.
• AWS Platform & Console Navigation
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• Navigate AWS environments and services effectively.

• Leverage AWS tools for data ingestion, storage, and analysis.
• Collaboration & Communication
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• Work closely with FinOps teams, finance stakeholders, and cloud engineering teams.

• Communicate insights and recommendations to non-technical stakeholders.
• Report directly to leadership and contribute to team growth and best practices.