AWS Hardware Engineering is seeking an experienced Data Engineer to join their Data Science and Analytics team. As a Data Engineer II, you will:
- Provide technical leadership and lead data engineering initiatives
- Build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective
- Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science
- Implement data ingestion routines using best practices in data modeling and ETL/ELT processes
- Collaborate with engineers and scientists to create efficient algorithms and adopt best practices
- Work on improving reporting and analysis processes, automating self-service modeling
You'll be part of the AWS Infrastructure Services (AIS) organization, which is responsible for the design, planning, delivery, and operation of all AWS global infrastructure. This role offers the opportunity to work on challenging problems with global impact, collaborating with diverse teams across AWS.
Key Responsibilities:
- Design and implement data solutions for analytics and machine learning
- Translate business requirements into scalable data architecture
- Collaborate with cross-functional teams to improve data systems and processes
- Optimize SQL queries and data pipelines for large datasets
- Contribute to the continuous improvement of data infrastructure and practices
Work Environment:
- Fast-paced, innovative culture focused on cloud infrastructure
- Opportunity to work with cutting-edge technologies and massive datasets
- Collaborative team environment with diverse technical expertise
Join Amazon Web Services and help shape the future of cloud computing while working on some of the most complex data challenges in the industry.