Data Engineer and Developer, Brand Protection, CADE
DESCRIPTION
We are looking for an experienced Full Stack Data Engineer and Developer with AI and automation background in Amazon Brand Protection and Catalog Risk space. You will play a crucial role in designing, developing, and maintaining centralized data products, AI features and advanced self-serve tools. These are integral to transforming raw data into actionable intelligence through advanced data engineering, business intelligence, and GenAI techniques. You will work closely with product managers, data engineers, BIEs, machine learning scientists, and operations teams to ensure the platform meets the evolving needs of our business users. This is a hands-on position where you will be involved in everything from designing and building highly scalable components and cutting-edge features to formulating strategies and directions for data and ML products. You need to be not only an exceptional software developer focusing on the data space with excellent programming skills but also have a strong background in AI/ML, an understanding of data processing and parallelization, and a proven record of delivery. Additionally, you should excel in leadership, customer obsession, and have a real passion for massive-scale computing.
Key job responsibilities
Key job responsibilities
* Design and implement scalable and secure components of centralized data portal, ensuring high performance and reliability
* Integrate real-time data with other services for workflow automation
* Collaborate with team to create intuitive UI and user experiences that facilitate seamless data exploration, interaction and automation
* Keeping your finger on the pulse of the constantly evolving and growing data processing and data lake field
* Stay updated with emerging technologies, AI advancements, and industry best practices related to data engineering and AI-driven Business Intelligence solutions
* Conduct scalability and performance testing to ensure the data portal can handle large volumes of data and concurrent user interactions efficiently
* Integrate the data portal with external systems, APIs, and data sources to facilitate seamless data ingestion, transformation, and integration.
* Delivering systems and features with top-notch quality, on time
About the team
BP CADE (Centralized Analytics and Data Engineering) in Brand Protection combining the former SEAL and Brandies Teams to bring together best practices, BI technology, data innovation and science to drive the overall BP metrics, AI solutions, and automated insights for our customers.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
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)
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 https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.