Data Engineer, WWOS Global Security R&R
Description For Data Engineer, WWOS Global Security R&R
Amazon Worldwide Operations Security (WWOS) is seeking an experienced Data Engineer to join their Global Security Risk & Resilience (GSRR) team. This role is crucial for strengthening Amazon's worldwide operations security and contributing to the resilience of their global supply chain. The position combines technical expertise with collaboration skills, requiring experience in designing scalable data pipelines, implementing ETL processes, and working with big data technologies. The ideal candidate should be proficient in SQL, Python, and AWS cloud solutions.
The role offers significant ownership and Amazon-wide impact, with exposure to senior leadership. You'll be responsible for developing and maintaining ETL/ELT processes, designing data solutions, collaborating with cross-functional teams, and ensuring data security. The position requires strong technical skills in data engineering, particularly with AWS technologies like Redshift, S3, AWS Glue, EMR, and others.
This is a high-visibility position perfect for someone who can mentor others, drive results, and is passionate about solving complex data challenges. You'll work on strengthening Amazon's security infrastructure while dealing with evolving challenges in global operations. The role combines technical depth with business impact, requiring both strong engineering skills and business acumen.
Working at Amazon means being part of a company that values innovation and customer obsession. You'll join a team that's focused on making significant improvements to worldwide operations security, with the opportunity to work on large-scale data challenges that directly impact Amazon's global supply chain resilience.
Responsibilities For Data Engineer, WWOS Global Security R&R
- Develop and maintain robust ETL/ELT processes using SQL, scripting, and AWS big data technologies
- Design and implement DE solutions that align with business needs and technical standards
- Collaborate cross-functionally with business owners, developers, and BI Engineers
- Proactively identify, troubleshoot, and resolve complex data-related issues
- Ensure data security and govern access to large datasets
- Optimize data models and query performance
- Develop and maintain documentation for data pipelines
- Balance multiple priorities and manage end-to-end delivery of data engineering projects
- Contribute to data governance policies and ensure compliance
Requirements For Data Engineer, WWOS Global Security R&R
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
