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Data Engineer III
1 month ago
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.
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.
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.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Knowledge of carbon accounting protocols such as GHG Protocol.
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, disability, age, or other legally protected status.
The base salary for this position ranges from $135,700/year up to $226,500/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
Posted: June 25, 2024 (Updated 17 days ago)
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