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Amazon Data Engineer II GTPC Tech AWS Security Assurance 
United States, New York, New York 
309610712

Yesterday
DESCRIPTION

Key job responsibilities
- Architecture design and implementation of next generation complex data pipelines and BI solutions based out of AWS.
- Manage AWS resources including S3, EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc.A day in the life
As a Security Assurance Data Engineer, you will help tackle a diverse landscape of technical challenges. You will partner with other Software Engineers along with Data Engineers, Business Intelligence Engineers, Product Manager, and Program Managers inside and outside of the team to distill large, complicated datasets into automated, digestible analytic deliverables. You will play an active role in translating business requirements into concrete systems and prototyping concepts in partnership with Amazon, technology leaders within the team and across the business.You’d be expected to have high standards for writing SQL, build data pipelines with infrastructure as code, code quality, code reviews, testing, and operational excellence. You’ll support your peers to deliver results in a space that operates much like a start-up, with the autonomy to build the right solution from Day One. As a DE with our team, you will collaborate with other engineers on technical direction, strategy with a career opportunity for growth that AWS can offer.
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.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


BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with SQL, data modeling, data warehousing, and building ETL pipelines.
- Experience in designing, implementing, and overseeing data processing systems tailored for extensive datasets.
- Proficiency in at least one modern programming language, whether it's Java, Scala, or Python.
- Experience in at least one scripting or programming language, such as Python, or JavaScript or TypeScript