Amazon Senior Data Engineer Amazon Health Science & Analytics 

United States, California, San Francisco 

246788144

Key job responsibilities
● Partner with folks across the company on developing flexible and scalable analytics to drive insights and decision making by internal customers
● Design and build reliable, performant and high quality scalable data architecture, data models, and pipelines to provide actionable insights and accommodate needs for our cross-functional teams
● You will have the opportunity to design the most critical business level aggregated tables at One Medical
● Build out suites of standard KPIs and metrics
● Define the strategy for how we model and warehouse data that is accessed by most teams and analysts across the company
● Build proper data quality detection to identify data issues in the data transformation stages and fix the problems to meet pipelines / table health SLAs
● Champion the practice of making data-informed decisions by ensuring internal stakeholders such as product management, operations, marketing, clinical effectiveness, finance and the executive team are making data driven decisions quickly and with confidence.
● Build and improve data tooling in partnership with data engineering and platform teams

- 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 working with DBT.
- Experience in dimensional data modelling and schema design.

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehousesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.