Sr. Big Data Engineer, AWS Finance BI

Amazon Corporate LLC
Amazon Corporate LLC

Job Overview

At Amazon, we’re working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and visionary people. We are looking for a highly analytical Data Engineer to join the AWS Finance BI team. We are looking for someone who believes in “Infrastructure as Code” and is ready to implement this concept in day to day ETL workflows and building a data warehousing platform. You will bring extensive knowledge about data modelling and engineering best practices as well as experience with large datasets in both SQL and NoSQL environments and you do not shy away from using software/code to solve data problems. Our projects span multiple organizations and require coordination of multiple data sources, teams, and infrastructure. In this role, you will be a technical expert with massive impact. You work tightly with other date engineers and business intelligence engineers on our team to create the data integrations, ETL, pipelines and codebase to drive our innovative analytics platform projects from initial experimentation to production level deployment. Your work will directly impact the success of Amazon’s growing web services business. You will work across diverse engineering and business teams. You will work on critical data engineering problems, building unique high quality reliable, accurate, consistent, and architecturally sound solutions that are aligned with our business needs. Key Performance Areas Design, implement and support an analytical data infrastructure Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other Data Engineers and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersBasic Qualifications Bachelors/Masters in computer science, mathematics, statistics, economics, or other quantitative fields. 5 years of industry experience in software development, data engineering, business intelligence, data science, or related field 5 years data modeling, ETL development, and data warehousing experience 5 years of experience using big data technologies such as Spark, Hive, Redshift, or S3. 5 years Experience in one or more of: Python, R or other scripting language Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

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