Data Engineer III

2 months ago

Vancouver, Canada Amazon Data Services Canada, Inc. Full time
In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040—10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.

As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020. We are on a path to power our operations with 100% renewable energy by 2025.

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.

Come join the team that is building the tools and innovative technology to track and share sustainability metrics for our customers.

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

About Us:

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

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
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Key job responsibilities
Our team operates the public Customer Carbon Footprint Tool and we have a high bar for releasing data to tens of thousands of AWS customers each month.

The successful applicant will work with our Product and SDE teams to build data systems that will simplify bringing new models to customers and enhance the visibility into our underlying modeling process.

BASIC QUALIFICATIONS

- 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.

PREFERRED QUALIFICATIONS

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

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