Amazon Data Engineer Threat Discovery Detection TD2 Customer Service Security 

United States, Washington, Seattle 

31139450

Key job responsibilities
You'll be responsible for designing, implementing, and optimizing data pipelines that ingest, process, and analyze vast amounts of security-related data from multiple sources. Your expertise will be essential in developing scalable solutions that enable real-time threat detection, anomaly identification, and predictive risk modeling.In this role, you'll collaborate closely with security engineers, data scientists, and software engineers to translate complex security requirements into robust data architectures. You'll leverage cutting-edge technologies and AWS services to build systems that embody our "Fortify the Exit, Secure the Entry" security approach.A day in the life
* Collaborate with data scientists and security engineers to architect data pipelines that support novel threat detection algorithms
* Design and maintain scalable ETL processes to ingest and transform massive volumes of log and event data
* Implement data quality checks and cleansing workflows to ensure the integrity of our detection systems
* Optimize queries and data models to enable rapid threat hunting and anomaly detection
* Present data infrastructure designs to cross-functional partners and incorporate their feedback
* Troubleshoot data flow issues and provide technical support to detection engineers
In the coming years, we're focused on enhancing our real-time threat detection capabilities, implementing machine learning-driven anomaly detection, and expanding our data sources to provide more comprehensive security coverage. As a Data Engineer, you'll be at the forefront of these initiatives, helping to shape the future of data-driven security at Amazon.
ABOUT AmSec:Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life BalanceInclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

- Master's degree
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- 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
- Familiarity with machine learning concepts and their application in anomaly detection