Amazon Senior Data Engineer Kuiper Commercial Revenue Operations 

United States, Washington, Redmond 

619106176

Key job responsibilities
* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, Glue) and internal Amazon tools (Data net, Cradle, QuickSight etc.)
* Build BI solutions and define the BizOps team's BI strategy. Deliver the BizOps Data Lake architectural design and enhancements.
* Provides robust BI solutions for complex problems, that are extensible and scalable.
* Communicate effectively with senior management audiences (e.g., narratives, inputs into monthly/quarterly business reviews).
* Refine data strategies that cut across functional teams and make technical trade-off decisions for long term/short-term needs.
* Understand business requirements and provide customer, marketing, sales, operations, and planning metrics.
* Design data pipelines and implement appropriate security, permissions, and access control models.
* Support BizOps leaders and teams in ingesting data, analysis, dashboards, business review metrics, and other analytical insights as required.* Drives best practices in operational excellence, data modeling, and analysis. Ensure that BI solutions are correctly and efficiently supporting the business
* Participate in hiring activities and mentor junior team members
Export Control Requirement:

- 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 with AWS tech stack

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses