
The everything store and cloud computing leader
Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...
Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon • Bengaluru, Karnataka, IND
Amazon is hiring a Senior Business Intelligence Engineer to architect and build enterprise-level data analytics solutions for the Prime Data Engineering & Analytics team. You'll work with AWS, Apache Kafka, and Spark to create scalable ETL pipelines and automated reporting systems. This role requires expertise in data analytics and machine learning.
You have 5+ years of experience as a Business Intelligence Engineer, with a strong background in architecting and building data analytics solutions. Your expertise includes designing scalable ETL pipelines and creating automated reporting systems that process large volumes of data. You are proficient in AWS and have hands-on experience with tools like Apache Kafka and Apache Spark, which you have used to drive impactful data analysis projects.
You possess a deep understanding of data modeling and analytics, enabling you to define and implement key business metrics effectively. Your experience with AI and machine learning tools, including QuickSuite, allows you to leverage advanced technologies to enhance data insights. You are skilled in creating self-service analytics platforms that empower business users to explore data independently and generate automated reports.
You have a proven track record of leading end-to-end project execution, managing data infrastructure, and establishing strong relationships across various business units. Your ability to provide technical mentorship and drive architectural decisions makes you a valuable asset to any team. You thrive in collaborative environments and are passionate about using data to inform critical decision-making processes.
Experience with additional data visualization tools and frameworks is a plus. Familiarity with big data technologies and cloud-based solutions will further enhance your candidacy. You are adaptable and eager to learn new technologies that can improve data processing and analytics capabilities.
In this role, you will join Amazon's Prime Data Engineering & Analytics team, where you will be responsible for designing and executing end-to-end data analytics projects. You will manage the worldwide Prime data infrastructure, ensuring that it meets the needs of various business units. Your role will involve collaborating with cross-functional teams to define key business metrics and build efficient dimensional data models.
You will architect and implement scalable ETL pipelines that process petabytes of data daily, enabling the team to derive insights that drive business decisions. Your work will include developing automated AI-powered reporting systems that enhance the efficiency of data analysis across the organization. You will also design intuitive self-service platforms that allow business users to explore data and generate insights independently.
As a Senior Business Intelligence Engineer, you will provide technical mentorship to junior team members, guiding them in best practices for data analytics and project execution. You will play a crucial role in shaping the future of Amazon Prime's data ecosystem, directly impacting millions of customers globally. Your contributions will help revolutionize how Amazon understands and serves its Prime customer base.
Amazon offers a dynamic work environment where innovation and collaboration are at the forefront. You will have the opportunity to work with cutting-edge technologies and be part of a team that is dedicated to transforming data analytics. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in making a significant impact on the future of data analytics at Amazon.
Apply now or save it for later. Get alerts for similar jobs at Amazon.