Amazon Data Engineer III Sustainability Technology 

Canada, British Columbia, Vancouver 

931677318

We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. The company also announced its 2021 global water use efficiency (WUE) metric of 0.25 liters of water per kilowatt-hour, demonstrating AWS’s leadership in water efficiency among cloud providers. To learn more about AWS’s water+ commitment visit: Water Stewardship.As a Data Engineering Leader with Amazon, you will mentor and lead engineers. You will guide your team towards the best data development practices. You will serve as a leader in the team to define the priorities and vision of the group. You will collaborate with users around the globe.To learn more, you can visit: Sustainability in the Cloud
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.Mentorship & Career Growth
Key job responsibilities

- 6+ years of data engineering, database engineering, business intelligence or business analytics experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience building data products incrementally and integrating and managing data sets from multiple sources
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Familiarity with data architectures built on AWS services, such as Redshift, Glue, S3, Step Functions.

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Knowledge of carbon accounting protocols such as GHG Protocol.