Amazon Sr Data Engineer Sales Insights Science 

United States, Washington, Seattle 

546437950

Key job responsibilities
- Plan, design, implement, and manage a deployment of self-service data visualization platform (with front end as Tableau, QuickSight, and/or Apache Superset)
- Design, build, and maintain data pipelines using modern Big Data technologies such as AWS Redshift, S3, Glue, Athena, EMR, Spark, Hive, etc.
- Utilize modern cloud database and storage concepts to for data storage and versioning (Data Lakes with AWS S3)
- Establish scalable, efficient, automated processes for large scale data analysis
- Build data pipelines to feed machine learning models for real-time and large-scale offline use cases.
- Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales managementDiverse Experiences
AWS 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.Mentorship & 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.Work/Life Balance
About Sales, Marketing and Global Services (SMGS)Seattle, WA, USA

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