About Amazon We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. A Fortune 100 company based in Seattle, Washington, Amazon is the global leader in e-commerce. Amazon offers everything from books and electronics to apparel and diamond jewelry. We operate sites in Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Netherlands, Spain, United Kingdom and United States, and maintain dozens of fulfillment centers around the world. We want you to help share and shape our mission to be Earth's most customer-centric company. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of invention that is part of our DNA. We do this every day by inventing elegant and simple solutions to complex technical and business problems. We're making history and the good news is that we've only just begun. About the Role We are looking for a creative, dynamic and motivated Data Engineer to join the Trustworthy Shopping Experience(TSE) Operations team . The mission of this team is to protect Customer trust on Amazon’s stores world wide by using statistical analysis . The ideal candidate thrives in working with large and complex data warehouse environments and has excellent verbal and written communication skills, is motivated by developing innovative and simplified solutions to solve complex analytical problems using very large data sets. The candidate is passionate about working with large data sets and bringing data together to answer business questions and drive change. These analysis and solutions will be fundamental to finding opportunities and creating new programs aimed at helping arrest abusive / bad actors on amazon platform faster. He/she will have a unique opportunity to closely partner with senior leaders and product, science, technology and operations teams across the organization driving programs that are critical to protecting our Buyers and genuine Sellers from bad actors. He/she will also play a critical role in influencing and shaping organization's strategy and product roadmap. Key job responsibilities - Architecture design and implementation of next generation data pipelines and BI solutions - Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc. - Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers ### Basic qualifications - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Knowledge of distributed systems as it pertains to data storage and computing - Proficiency in at least one modern programming language, whether it's Java, Scala, or Python. ### Preferred qualifications - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.