Amazon’s RBS Brand Experience team is hiring a Business Intelligence Engineer to transform large, complex datasets into actionable insights that drive global program scalability and enhance work authorization experiences. This role focuses on building scalable data pipelines, analytics solutions, and intuitive dashboards to enable data-driven decision-making across teams worldwide.
Location: Bengaluru, India
Job ID: 3036857
Work Site: Amazon Development Centre India (SEZ)
Travel: 0–25%
Role Type: Individual Contributor
Profession: Data & Business Intelligence
Employment Type: Full-Time
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As a Business Intelligence Engineer at Amazon, you will:
Advanced SQL skills to write complex queries and stored procedures for extracting, transforming, and analyzing large datasets
Strong knowledge of Python (knowledge of pandas and pySpark preferred), ETL, and data manipulation.
Strong analytical and problem-solving skills, with the ability to turn business requests into elegant data solutions.
Experience designing and building ETL pipelines capable of retaining previously static data collections, in a way that large volumes of data can still be displayed in a predictable, reasonable time frame.
Data modeling/knowledge of indexing to improve data queries found in logical and physical Databases.
Understanding complexity in data sources, file formats, and, importantly, the ability to integrate disparate data into a row structure, regardless of shape or form.
Experiences developing and maintaining a Data warehouse using a Data lake.
Demonstrates BI mastery with thought in mind, particularly in visualization or dashboard creation.
Knows how to thrive in ambiguity, where you understand empirical data requirements, and recommend solutions to transcend uncertainty.
Strong written and verbal communication skills to relay technical concepts and data-related insights to technical as well as non-technical individuals.
Always show strong customer orientation to help the business add value to data processes.
2+ years’ experience analyzing and interpreting data using Redshift, Oracle, or NoSQL.
Proficiency with SQL and scripting languages like Python, Java, or R.
Experience with Tableau, Quicksight, or similar BI visualization tools.
Skilled in building ETL pipelines, data models, and statistical analysis (e.g., regression).
Ability to gather business requirements and build insightful, automated reports.
Bachelor's degree, or an Advanced technical degree.
Knowledge of data modeling and data pipeline design.
Experience with statistical analysis and correlation analysis.
Experience in designing and implementing custom reporting systems using automation tools.
Amazon is a global technology and e-commerce leader, specializing in retail, logistics, cloud computing (AWS), AI, and digital services. Through teams like RBS Brand Experience, Amazon empowers businesses and customers worldwide by turning complex data into actionable insights, driving innovation and efficiency.