Amazon Data Engineering Manager WW Standardization & Automation WWSnA 

United States, Washington, Bellevue 

635769726

As a Data Engineering Manager in WWSNA, you will be responsible for managing one of the world's largest and most complex data warehouse environments, all while navigating a high level of ambiguity. Your role will involve designing, implementing, and supporting scalable data infrastructure solutions, as well as implementing complex data models for Amazon Inbound & Outbound Transportation business. You should have excellent business and communication skills to collaborate with business owners, Product teams, and Tech leaders to gather infrastructure requirements, design data infrastructure, and build data pipelines and datasets to meet business needs. Your responsibilities will include designing and delivering a data service platform using Python, Airflow, and SQL to build various ETL, analytics, and data quality components. You'll also be in charge of automating deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS CloudFormation. In addition, you will work closely with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more to ensure the success of data engineering initiatives.Key job responsibilities

- 7+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 7+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 7+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience hiring, developing and promoting engineering talent

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)