Amazon Sr Data Engineer WW Standardization & Automation WWSnA 

United States, Washington, Bellevue 

634407418

As a Senior Data Engineer in WWSNA, you will be working in one of the world's largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Inbound & Outbound Transportation business. As a Sr. DE you will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners, Product teams and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for designing, developing, and operating a data service platform using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components. You’ll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more.Your major responsibilities will include
- Designing and implementing complex pipelines and other Data Engineering solutions.- Create extensible designs and easy to maintain solutions with the long term vision in mind
- Improve tools, processes, scale existing solutions, create new solutions as required based on team and stakeholder needsBellevue, WA, USA

- 7+ 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
- Strong command and expertise in AWS services like IAM, Lambda, Redshift, RDS, Athena, EMR and Glue. Additionally, proficiency in utilizing internal tools such as Cradle, Datanet, and ANDES.