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Closed on August 28, 2026.
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Job Description
Responsibilities
- Build and maintain large-scale data models for clients in energy, renewable resources, sustainability, and water to support portfolio assessment.
- Collaborate with data scientists to design and implement predictive analytics that enhance decision-making.
Requirements
- 3+ years of data engineering experience
- 1+ year developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
- 1+ year developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
- 1+ year developing and operating large-scale data structures for business intelligence analytics using data modeling
- 1+ year developing and operating large-scale data structures for business intelligence analytics using SQL
- 1+ year developing and operating large-scale data structures for business intelligence analytics using Oracle
- Experience with data modeling, warehousing and building ETL pipelines
Technologies
- Redshift
- S3
- AWS Glue
- EMR
- Kinesis
- FireHose
- Lambda
- IAM
- Oracle
- SQL
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription)
- 401(k) matching
- Paid time off
- Parental leave
- Basic Life & AD&D insurance
- Supplemental life plans
- Employee Assistance Program (EAP) / Mental Health Support
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who