Amazon Business Intelligence Engineer III Sustainability Technology 

Canada, British Columbia, Vancouver 

459753801

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 Software Engineering Leader with Amazon, you will mentor and lead engineers. You will guide your team towards the best software 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
Vancouver, BC, CAN

- Knowledge of data warehousing and data modeling
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience working directly with business stakeholders to translate between data and business needs
- 6+ years of professional or military experience

- Experience managing teams
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in Sustainability standards such as GHG Protocol and associated concepts.