Amazon Senior Data Engineer Region Services 

United States, Virginia 

295039143

Key job responsibilities
Create backend systems that scale by leveraging Aurora Serverless and NoSQL databases (DynamoDB).
Build and maintain the ETL's responsible for keeping our data warehouse up-to-date with accurate information.
Manage the ingestion and processing of event stream data from multiple source systems.
Maintain Managed Apache Airflow workflows transforming and moving data between source systems and a data lake.Raise the bar on quality, security, performance, scalability, usability and operations.
Support the Region Services organization mission through the creation of tooling for AWS region builds, service expansion and feature tracking.A day in the lifeUtility Computing (UC)Work/Life Balance
Mentorship and 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience operating large data warehouses
- Bachelor's degree
- 7+ years of data engineering, database engineering, business intelligence or business analytics experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with big data technologies such as: RDS, Athena, S3, Redshift, Glue, Airflow, etc.