Position Details
About this role
This role involves leading the development of scalable security data infrastructure, modernizing legacy pipelines, and working across data domains to support analytics at Amazon.
Key Responsibilities
- Define data architecture
- Design ETL/ELT pipelines
- Lead migration to lakehouse patterns
- Build data models and standards
- Ensure data accessibility and security
Technical Overview
The technical environment includes AWS Redshift, Glue, S3, Lambda, Step Functions, Athena, Apache Airflow, and modern lakehouse architectures, focusing on data engineering and security data management.
Ideal Candidate
The ideal candidate is a senior data engineer with extensive experience in designing and implementing large-scale data pipelines using SQL, Python, and AWS services. They possess strong data modeling skills and have worked on security data infrastructure modernization.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with AWS services, No data modeling or ETL experience, No experience with security data platforms, Must be authorized to work in the US
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