In this role, the selected candidate will
architect, design and implement high performance large volume data integration processes, database, storage, and other back-end services in fully virtualized environments.
In this role, the selected candidate will identify, design, implement, test, launch and support next generation features related to scalability, reliability, robustness, usability, security, and performance of MongoDB.
Demonstrate technical expertise, establishes credibility with both technical resources and decision makers. Work with client systems, performance, and current and potential data loaded onto systems to facilitate demand creation.
Must be able to analyze data and their relationships in a foreign EIS system, understand the grain of data and which attributes they hang of, and then correctly define the grain in the target data mart.
Ability to collaborate effectively with other architects, data users, development managers and other key stakeholders to drive architectural efforts to maximize the value of information across the organization.
In this role, the selected candidate performs backup and recovery on Database Management Systems, configures database parameters, and prototype designs against logical data models, defines data repository requirements, data dictionaries and warehousing requirements.
In this role, the selected candidate will collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.