Amazon

DESCRIPTION

At AWS, Security is priority zero. As part of the Amazon Web Services (AWS) Security team, we are looking for a seasoned Data Engineer for our Security, Risk and Compliance (SRC) component. As a Senior Data Engineer in the SRC Team, you are expected to demonstrate technical leadership and excel in delivering efficient and effective data solutions with no or minimal guidance, focusing on complex problem areas in both existing and new initiatives. You take a holistic, long-term view of your team's data architecture, anticipating access patterns and removing bottlenecks. Your expertise ensures that data is auditable, available, and accessible, and you proactively address architectural deficiencies. You demonstrate a deep understanding of the business impact of your systems, making judicious technical trade-offs between short-term needs and long-term business goals. Your influence extends to team strategy, driving meaningful discussions with stakeholders and guiding technology choices. You possess a comprehensive understanding of system limitations and the rationale behind existing solutions, enabling you to make appropriate architectural decisions.

As a part of AWS Security, you’ll get to operate in a constantly changing environment and get to work with AWS business and engineering teams on business-critical security projects and programs. We work across AWS to drive strategic security initiatives, design and deliver tooling and automation, and continue to raise the bar on security at AWS. Our team drives programs to enable compliance monitoring, advanced analytics and automation from across all AWS.

Key job responsibilities

• Design, develop, and maintain new and existing data pipelines to drive key business decisions.
• Design, implement, and support a platform providing secure access to large datasets.
• Recognize and adopt best practices in data integrity, test design, analysis, validation, and documentation.
• Tune data pipelines and query performance using profiling tools and SQL.

Analyze and solve problems at their root, stepping back to understand the broader context.

• Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use.
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.

Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies

Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency

• Collaborate with Product Managers, Business Intelligence Engineers and Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning

About the team

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.

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.

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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Bachelor's degree

PREFERRED QUALIFICATIONS

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses
• Experience mentoring other team members

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