We are calling on engineers who wants to contribute to a sustainable future through technology. Join us in developing solutions for renewable energy portfolio and reduce carbon footprint of our materials in data centers.
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, reached 100% renewable energy across our business, and are on a path to become net-zero carbon by 2040.
AWS will also be water positive by 2030, returning more water to communities than it uses in its direct operations.
Come join the team that is building the tools and innovative technology reduce our carbon footprint, and manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farms.
Key job responsibilities
Our Data Engineers develop large data models for clients in energy, renewable resources, sustainability, and water sectors, enabling them to assess their portfolios. They help our data scientists create predictive models to enhance decision-making.
A day in the life
As a Data Engineer, you'll start your day collaborating with cross-functional partners to understand their data needs. You might spend time building and optimizing ETL pipelines, reviewing code with team members, or designing new data models. You'll participate in technical discussions to solve complex problems. Your work directly impacts AWS' sustainability goals, helping to design products used by leaders and stakeholders to make informed decisions about reducing our impact on the environment.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
