Data Engineer, Security

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Job summary
Come join a security team who focuses on ease of use and delighting our customers to build security services, used across all of Amazon, that secure our internal systems and networks.
At Amazon Web Services (AWS), Security is our highest priority. Our team is responsible for inventing, scaling, and operating the foundational security services used across Amazon to secure our systems, processes, and data. We build authentication, authorization, and enforcement services that are used across our diverse internal teams as they build and deliver services for our customers. We support all of Amazon.com and AWS with our services, and need solution-oriented thinkers who are passionate about solving problems at scale, thinking through edge cases, and iterating quickly to delight our customers.
Are you a good fit for our team?
You’ll love this team if you are passionate about security, and curious how we design security into the cloud and Amazon infrastructure from the minute a server hits our data center through how we securely administer and operate services. At Amazon, we are looking for engineers who know how to think through a problem, be creative, and who think outside the box in ways that benefit our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – it is part of our company DNA. Our Engineers (you!) are obsessed with customer trust, building solutions that address real world risks, and thinking deeply about how humans use security systems to build elegant security that users love to use. We are looking for people who bring diverse perspectives, ask a lot of questions, and challenge the status quo. We are a team of out-of-the-box thinkers, who iterate quickly, and think deeply about how to build secure systems that are easy to use.
Team Culture
We work across the company on services that are always-on; the company depends on us. To perform our best, we value work/life harmony, flexible schedules, and unscheduled time to brain storm. We support established, and rapidly growing services, with a DevOps model, so you will be part of an oncall rotation every couple of months. Our challenges and goals are ambitious, often ambiguous, and we sometimes try things that don’t work. We embrace the learnings from failure and iterate quickly. We emphasize shipping rapidly, using automated releases and testing to deploy frequently, and deeply root causing issues to ensure that we stay fast. Almost all of our team works from home these days, but typically we are together in the office collaborating around a whiteboard, planning over coffee, or playing a video game during downtime.
What you would do
In this role you will join an established and rapidly growing DevOps software team who is maintaining an existing security service while expanding the deployment, features, and capabilities to address significant new initiatives across the company. We are looking for Data Engineers with expertise to help us design, build, and maintain performant, big data solutions that scale to meet the needs of our customers.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

BASIC QUALIFICATIONS

• 2+ years of professional experience with data modeling, architecture, and engineering
• 2+ years experience with query languages and performance tuning
• 2+ years experience with at least one scripting language

PREFERRED QUALIFICATIONS

• Bachelors or advanced degree in Computer Science or closely related field
• 4+ years of experience with query languages
• 2+ years of experience with scripting languages such as Python, Ruby, or Perl
• Experience building/operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets
• Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda for serverless ETL)
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Experience using business intelligence reporting and data visualization tools
• Meets/exceeds Amazon’s leadership principles requirements for this role
• Meets/exceeds Amazon’s functional/technical depth and complexity for this role