Data Engineer, Creators

- Bachelor's degree
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with Redshift, Oracle, NoSQL etc.
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience working on and delivering end to end projects independently
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- 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)
- Familiarity with data visualization tools and business intelligence platforms
- Knowledge of data security and compliance best practices

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.

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.

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.
Are you a passionate Data Engineer (DE) ready to shape the future of digital content creation? At Amazon, we're building Earth's most desired destination for creators to monetize their unique skills, inspire the next generation of customers, and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazon's ecosystem. Our team owns the entire Creator product suite, ensuring a cohesive experience, optimizing compensation structures, and launching features that help creators achieve both monetary and non-monetary goals.

Key job responsibilities
As a DE in our team you will:
* Collaborate with cross-functional leaders from business development, marketing, product, science, and engineering to translate strategic objectives into robust, scalable data architectures
* Design and implement data infrastructure solutions using AWS and other advanced technologies
* Build and optimize data pipelines that power internal dashboards, product insights, recommendation engines, driving tangible impact on creator success and customer engagement
* Work in one of the world's largest and most complex data warehouse environments
* Foster a culture of continuous learning and innovation
The successful candidate is self-driven and thrives in a fast-paced, innovative environment. You have deep expertise in creating and managing large datasets across various platforms. You possess strong business acumen and excellent communication skills, and use them to effectively translate business requirements into technical solutions. You stay current with emerging technologies and implement them strategically.