Business Intelligence Engineer, AWS DC Acqn&Construction
Core
Build data foundations, reporting systems, and analytical capabilities to enable leadership decisions on planning, tracking, and delivering ML/AI infrastructure capacity at scale across AWS global data centers.
Role type
Senior Business Intelligence Engineer (Data & Analytics)
Builds
Scaled automated reporting systems, dashboards, and data pipelines for ML capacity delivery tracking and operational decision-making.
Domain
Cloud Infrastructure / Data Center Operations / ML Capacity Planning
Deliverable
dashboards & analysis
Required skills
SQL, ETL pipeline development, statistical analysis, data visualization, data modeling, warehousing, Python scripting, Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab
Preferred skills
AWS solutions (EC2, DynamoDB, S3, Redshift), data mining, large-scale complex dataset management
Technologies
Redshift, Oracle, NoSQL, SQL, Python, Tableau, Quicksight, R, SAS, Matlab, EC2, DynamoDB, S3
Responsibilities
Design and maintain automated user-friendly systems, reports, and dashboards for ML capacity delivery tracking; Build and optimize ETL pipelines for data extraction and loading from diverse AWS Infrastructure sources; Apply analytic skills to extract insights from complex datasets regarding capacity timelines, supply chain, and deployment; Collaborate with program managers and operations teams to translate business requirements into scalable data solutions; Build data visualizations to identify trends, patterns, and bottlenecks in ML capacity delivery; Design and track key performance metrics for delivery velocity, on-time performance, and pipeline throughput; Proactively identify opportunities to improve data quality and automate manual reporting processes.
Seniority
Senior, hands-on IC
