Amazon Web Services, Inc.
Technology
DataEngineer,AWSCompliance&SecurityAssurance
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer, AWS Compliance & Security Assurance at Amazon Web Services, Inc.. Skills: Data Engineering, AWS, Data Architecture, ETL. Design scalable data architecture. Own scalable data architecture”
Industry & Context.
Translating complex data; Analytical insights
What They're Looking For.
Must Have
3+ years data engineering experience, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, 2+ years experience with AWS technologies, Proficiency in Python, Proficiency in TypeScript
Nice to Have
Bachelor's Degree in Computer Science, Hands-on experience leveraging AI tools, Advanced SQL skills, Expertise in query performance tuning, Experience with non-relational databases, Experience with data pipeline observability, Experience with monitoring, Experience with alerting, Experience mentoring other engineers, Experience managing infrastructure as code, Software engineering fundamentals
What You'll Do.
Design scalable data architecture
Own scalable data architecture
Design data pipelines
Transform complex datasets
Collaborate with Business Intelligence Engineers
Translate requirements
Partner with Software Engineering teams
Distill large datasets
Recognize best practices
Participate in code reviews
Participate in design discussions
Identify simplification opportunities
Propose scalable solutions
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Collaboration with stakeholders; Collaboration with analysts; Collaboration with engineers; Collaborate with Business Intelligence Engineers; Collaborate with business stakeholders; Partner with Software Engineering teams
Full Job Description
The AWS Compliance & Security Assurance team is responsible for scaling AWS's ability to exceed the security and compliance expectations of our regulators, auditors, and customers globally. As a Data Engineer, you will design and deliver scalable data products that power AWS Security initiatives. The role offers a unique opportunity to work in a dynamic environment that provides startup-like autonomy — you will own data domains end-to-end, from architecture through productionization and lifecycle management. The ideal candidate will bring 3+ years of data engineering experience and demonstrate expertise in developing and managing data solutions at scale. You should excel at translating complex data into meaningful insights through cross-functional collaboration with stakeholders, analysts, and fellow engineers. You will be an integral part of a team that values innovation, technical excellence, and the ability to deliver results in a fast-paced environment. Key job responsibilities * Design and own scalable data architecture and pipelines using native AWS technologies (e.g., S3, Redshift, Glue, Lambda) to support BI solutions and customer analytics needs at scale. * Build and deploy high-impact data products that transform complex datasets into actionable intelligence for internal and external customers. * Collaborate cross-functionally with Business Intelligence Engineers and business stakeholders to gather requirements and translate them into scalable data engineering solutions. * Partner with Software Engineering teams to distill large, complicated datasets into digestible analytical insights. * Insist on the highest standards by recognizing and adopting best practices in data engineering (e.g., data lineage, data integrity, data quality, pipeline observability). * Actively participate in code reviews and design discussions to identify simplification opportunities and propose scalable solutions. About the team Diverse Experiences Amazon Security values diverse ex
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