Job Overview
We're seeking an exceptional Data Engineer to join our Risk and Compliance Solutions (RCS) Data Engineering team, where you'll architect and build data systems that power Amazon's compliance operations. This role combines technical expertise with business acumen to transform complex data into actionable insights that protect Amazon's ecosystem of buyers, brands, and sellers. Your work will directly influence Amazon's compliance framework and risk management capabilities, ensuring the company's continued growth while maintaining regulatory compliance. You'll be instrumental in building the next generation of data-driven compliance tools that protect Amazon's global marketplace. Your experience with real-time data processing, high-throughput systems, and end-to-end platform development, knowledge of modern data engineering tools and technologies is essential.
Core Responsibilities

Contribute to the architecture, design and implementation of next generation BI solutions – including streaming data applications.
Manage AWS resources, including EC2, RDS, Redshift, Kinesis, EMR, Lambda, etc.
Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
Interface with other technology teams, 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.
Design and implement scalable data infrastructure supporting RCS's compliance and risk management initiatives.
Develop robust data pipelines and analytics processes that enable real-time decision making.
Collaborate with compliance officers, software engineers, and product managers to deliver reliable data solutions.
Lead technical initiatives and mentor team members in best practices for data engineering.
Create automated systems to replace manual processes and support Amazon's global expansion.

Basic Qualifications

Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline.
Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
Experience using big data technologies (Hadoop, Hive, HBase, Spark, EMR, etc.).
Experience working with AWS big data technologies (EMR, Redshift, S3, AWS Glue, Kinesis, and Lambda for Serverless ETL).
Knowledge of data management fundamentals and data storage principles.
Knowledge of distributed systems as it pertains to data storage and computing.
Hands‑on experience and advanced knowledge of SQL.
Basic scripting skills using Python and Scala.
Basic understanding of Machine Learning.
3+ years of data engineering experience.
Experience with data modeling, warehousing and building ETL pipelines.
Experience with SQL.

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).

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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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