- 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
As a Senior Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually deliver on people metrics.
You will also work with a team of Business Intelligence Engineers and help automate and scale the analysis, and to make the data more actionable to manage business at scale.
You will own many large datasets, production pipelines, automate anomaly detection model, data models, implement new data pipelines that feed into or from critical data systems at Amazon
This role will support the field operations and specifically improving data analytics capabilities for core and common PXT metrics directly impacting delivery associates across middle and last mile.
This role will maintain database and reporting infrastructure for field people metrics such as employee time and attendance, attrition, associate schedule flexibility employee voice and staffing metrics, in addition to various exempt metrics such as attrition.
The focal point of this role would be to support field PXT reporting and data insights enabling operators and capacity planning teams to make real time productivity and employee experience decisions based on Daily, Weekly or Monthly reporting cadences.
Key job responsibilities
• Work closely with senior engineers to model, implement data pipelines that feed into or from people data across middle and last mile.
• Own the delivery of data modelling and data pipelines.
• Management and execution against project plans and delivery commitments
• Assist directly and indirectly in the continual hiring and development of technical talent.
• Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts.
• Maintain in-house cluster and continuously work on improving cluster health with enabling alerts and key functions
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Atlanta, GA, USA | Austin, TX, USA | Bellevue, WA, USA | Boston, MA, USA | Charlotte, NC, USA | Nashville, TN, USA | Phoenix, AZ, USA | Seattle, WA, USA | Washington, DC, USA
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Amazon is committed to a diverse and inclusive workplace.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit https://www.
amazon.
jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets.
The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/year in our highest geographic market.
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Amazon is a total compensation company.
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
For more information, please visit https://www.
aboutamazon.
com/workplace/employee-benefits.
Applicants should apply via our internal or external career site.
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