Amazon Web Services (AWS) · 1 week ago
Data Engineer
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Responsibilities
Conduct/facilitate internal/external research and discovery for customer’s business processes/KPIs, CxO/BOD objectives, market/financial/industry/functional trends, and business value analysis
Develop C-level engagement strategies, executive narratives, ROI investment justifications, deal structures, solution strategies, commercial proposals, and value impact analysis
Progress a knowledge base including a library of reusable value assets, including value frameworks, benefit models, benchmarking, templates, tools etc.
Act as a trusted advisor to Sales leadership by providing guidance on account strategies and helping prioritize strategic pursuits
Directly engage with customer executive teams, helping articulate the strategic and financial benefit of AWS’s solutions/services to accelerate customer outcomes
Qualification
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Required
7+ years of developing, negotiating and executing business agreements experience
7+ years of professional or military experience
Bachelor's degree
Experience developing strategies that influence leadership decisions at the organizational level
Preferred
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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)
Benefits
Medical benefits
Financial benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-06-01
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