BI Engineer II, Amazon Search

The Amazon Search team develops customer-focused search and advertising solutions. Our services activate whenever a customer interacts with Amazon's product catalog, enabling millions of daily searches across our global websites. We design, develop, and deploy high-performance, fault-tolerant distributed systems that power these critical customer experiences. Within this ecosystem, the Search Relevance team plays a crucial role in optimizing the quality and effectiveness of search results. Our mission is to enhance the search experience as Amazon expands into new markets and product categories. We create innovative infrastructure and solutions that streamline expansion processes and improve functionality from day one.

We are seeking a Business Intelligence Engineer (BIE) to join our team in Bangalore. The ideal candidate will be analytical, detail-oriented, and customer-focused, with the ability to adapt quickly to new technologies and business needs. The successful candidate will be a self-starter with good analytical skills, thinks in terms of automation, makes comprehensive technical decisions balancing short-term and long-term needs and drives projects to completion with minimal supervision.

Key job responsibilities

Extract insights from complex data sets

Collaborate with stakeholders to solve business problems using data and analytics

Design and implement automated data infrastructure

Support economists and data scientists on analytical projects

Work with cross-functional teams to deliver customer-facing features

Learn and apply new technologies to support innovation

Drive data integration projects

Basic Qualifications

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience with data modeling, warehousing and building ETL pipelines

Experience in Statistical Analysis packages such as R, SAS and Matlab

Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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