Boom Entertainment

Data Engineer

• Design, build, and own scalable data pipelines for analytics and reporting.
• Integrate datasets from APIs, vendors, and event streams into the data warehouse.
• Maintain clear documentation for data models, pipelines, and system architecture.
• Write high-quality SQL and optimize database performance across large datasets.
• Troubleshoot data issues, including pipeline failures, schema changes, and data-quality gaps.
• Define and maintain core business metrics used across analytics, finance, and product.
• Analyze user behavior and funnels to support product decisions and growth initiatives.
• Handle ad-hoc data requests, analyses, and exploratory investigations.