Business Intelligence Engineer (Contract), FinOps FP&A [Music Finance BIE]

Amazon Dev Center India (ADCI) is seeking an expert, highly analytical Business Intelligence Engineer (Contract) to join the FinOps FP&A division in Bengaluru, Karnataka . Supporting the global Amazon Music finance ecosystem, this temporary technical position owns the end-to-end extraction, design, and modeling of complex big-data layers within one of the world's most intricate warehouse architectures .

Key Responsibilities & Scope of Work

• Data Pipeline Engineering: Build, manage, and operate stable, low-cost ETL solutions to flow big data seamlessly from live production frameworks into the data warehouse .
• BI Dashboard Visualization: Translate complex database tables into clean reporting layers, owning the production and automated scheduling of global vendor metrics trackers .
• Ad-Hoc Query Optimisation: Act as a dedicated technical partner to Amazon Music finance leads, writing and tuning high-performance queries to clear processing backlogs .
• Statistical Diagnostics: Apply advanced quantitative tracking methods—including t-test and Chi-squared computations—to isolate trends, verify operational performance, and detect outliers .
• Cross-Functional Scoping: Gather reporting requirements from multiple business nodes, transforming qualitative finance prompts into rigorous engineering workflows .

Required Qualifications & Technical Stack

• Educational Foundation: University degree or equivalent technical engineering background preferred; a Master's or post-graduate degree in a quantitative domain is a strong advantage .
• Data Systems Analytics: Minimum of 2 years of professional history parsing, modeling, and validating pipelines inside Redshift, Oracle, or NoSQL database environments .
• Programmatic Scripting Mastery: Hands-on experience developing data transformation scripts using languages like Python, Java, or R .
• Reporting System Literacy: Demonstrated capability utilizing corporate analytics suites including Tableau, AWS QuickSight, PowerBI, or MicroStrategy .
• Core Soft Skills: Outstanding written and verbal corporate communication properties, self-motivated baseline execution habits, and an ability to navigate complex data structures .