Senior Data Engineer, Region Services

Are you passionate about leveraging data to deliver actionable insight that impacts daily business decision of Amazon? Does the prospect of dealing with massive volume of data excite you? Do you want to build a cutting-edge highly scalable analytics platform using AWS technologies?

Engineers at Amazon work on real world problems on a global scale, own their systems end-to-end, and influence the direction of our technology that impacts hundreds of millions customers around the world. Join a team of super smart, customer obsessed developers that think big and have fun.

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.

Write scripts and queries to select and parse data in response to customer and leadership requests.

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 life

The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions, and be able to collaborate with Software Developers and Technical Program Managers to analyze data that will answer those questions. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models.

About the team

We are one of the engineering teams within Region Services that works on the tooling that helps us build and deploy services to every AWS region around the globe. This team will have the opportunity to work on highly visible projects that directly impact hundreds of other teams at Amazon. This team leads the charter of transforming how AWS builds new regions by leveraging data and automation to optimize region builds. Our systems look around corners to find insights that move the needle in reducing the duration of AWS region builds.

BASIC QUALIFICATIONS

- 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

PREFERRED QUALIFICATIONS

- 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

---