Access Control, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache, Apiary/Beekeeping, Applications Security, Artificial Intelligence (AI), Best Practices, Business Analysis, Business Processes, Cloud Computing, Computer Security, Continuous Deployment/Delivery, Continuous Integration, Customer Experience, Data Collection, Data Lake, Data Management, Data Modeling, Data Quality, Data Science, Data Sets, Data Storage, Develop and Maintain Customers, Electronic Medical Records, Healthcare, Home Automation, Incident Response, Information/Data Security (InfoSec), Model Review, Process Analysis, Project/Program Management, Quality Management, Query Optimization, Relational Databases (RDBMS), Retail, Risk, SQL (Structured Query Language), Security Attacks, Simple Queue Service (SQS), Software Development, Software Engineering, Technical Leadership, Threat Modeling, Training Data Sets, Use Cases, Validation Documentation, Veritas Product Family
Amazon Security (AmSec) is looking for a Data Engineer II to join a team of highly skilled individuals working on our initiatives in resource and application discovery within Amazon security. Our product, Veritas, is a foundational service within Amazon security that provides data for security initiatives like security reviews, threat modeling and detection, access control and incident response.
You will be part of a AmSec organization that spans over ten countries worldwide, catering to a wide variety of customer use cases, including security intelligence, application security, incident response, security operations, risk and compliance, acquisitions and subsidiaries, and external partner security.
You will work closely with a diverse range of roles, such as Software Development Engineers, Data Scientist, Data Engineers, Technical Program Managers, Product managers and our Security Engineer customers, to build high quality datasets for security investigations, application modeling, and more.
You'll primarily work with AWS services such as EMR, Glue, Athena, Redshift, S3, SNS, SQS, Apache Airflow, along with some internal tools.
You'll also be part of our transformation journey to build data objects by leveraging AI. Our data lake contains over 500 datasets from various sources, with some handling daily volumes exceeding PBs.
As Data Engineer, you will be gathering and understanding data requirements, partnering with software engineers, and collaborating across roles and teams to create the necessary data infrastructure and high quality pipelines to drive our team"s initiatives. We have high-visibility data ingestion goals in a fast-paced, operational environment. The ideal candidate should enjoy the challenge of operating complex and mission-critical systems under ambiguity.
Key job responsibilities
- Develop and influence the teams' data strategy and data storage roadmap through working closely with partners
- Lead designs for data governance strategy, define data schema and develop tools to enable more efficient data sharing with customers which adhere to highly confidential data handling guidelines.
- Continually improve the data quality and operations, via automation and building full CI/CD data pipelines
- Recognize and adopt best practices in data integrity, data model, testing, analysis, validation, and documentation.
- Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems
- Utilize AI/LLM to automate manual and redundant data engineering task
- Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Iceberg, Hive/EMR, Spark, SNS, SQS) to optimize processing of extremely large datasets
- Understand and analyze business processes, logical data models and relational database implementations
- Write high performing and optimized SQL queries
About the team
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive 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 & 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.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the 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 Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
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Amazon.com Inc
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter
here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit
https://www.amazon.jobs/principles