MVP Consulting Plus
Database Architect (COTS, ODI, SQL, Kafka)
MVP Consulting Plus, Albany, New York, United States
DOT, Database Architect, Expert
30 month contract
Virtual Interview
Selected candidates are expected to work in Albany office 2-3 days per week
Day-to-day tasks
Write clean, testable code using advanced analytical functions.
Test and debug including, but not limited to: perform system testing and development of testing plans.
Review and refactor code including, but not limited to: performance tuning of existing code, code reviews, and suggest changes that will best fit the Agency/business needs.
Deploy fully functional applications.
Use a ticketing system to track and manage incidents, service requests, problems, changes, and release/deployment.
Database Architect Determines database structural requirements by analyzing client operations, applications, and programming; reviews objectives with clients; evaluates current systems; provides database support by coding utilities, responding to user questions, and resolving problem
Expert
84+ months: Candidate is able to provide guidance to large teams and/or has extensive industry experience and is considered at the top of his/her field.
84 months experience working with Agency/business subject matter experts to understand business needs/requirements, Vendors of Commercial Off the Shelf (COTS) Business products, and technology teams to determine and design data warehouse, application and system requirements.
84 months experience architecting, designing, documenting, and implementing data warehousing, COTS and Custom business application integrations, and master data management.
84 months experience data modeling and designing normalized Data Warehouse environments for enterprise level applications; and, implementing those designs using Oracle Data Integrator (ODI) and Extract, Transform, Load technologies
84 months experience developing data integrations for heterogeneous systems and business intelligence using SQL (Structured Query Language).
72 months experience performing database comparative analysis for designing new transactional databases and data warehouses, as well as improvements in existing transactional databases and data warehouses.
60 months experience in analytical reasoning, computation, interpretation, and presentation of data to solve business problems.
48 months experience implementing systematic Data Error/Recovery and Cleanup procedures
24 months experience integrating with Kafka.
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30 month contract
Virtual Interview
Selected candidates are expected to work in Albany office 2-3 days per week
Day-to-day tasks
Write clean, testable code using advanced analytical functions.
Test and debug including, but not limited to: perform system testing and development of testing plans.
Review and refactor code including, but not limited to: performance tuning of existing code, code reviews, and suggest changes that will best fit the Agency/business needs.
Deploy fully functional applications.
Use a ticketing system to track and manage incidents, service requests, problems, changes, and release/deployment.
Database Architect Determines database structural requirements by analyzing client operations, applications, and programming; reviews objectives with clients; evaluates current systems; provides database support by coding utilities, responding to user questions, and resolving problem
Expert
84+ months: Candidate is able to provide guidance to large teams and/or has extensive industry experience and is considered at the top of his/her field.
84 months experience working with Agency/business subject matter experts to understand business needs/requirements, Vendors of Commercial Off the Shelf (COTS) Business products, and technology teams to determine and design data warehouse, application and system requirements.
84 months experience architecting, designing, documenting, and implementing data warehousing, COTS and Custom business application integrations, and master data management.
84 months experience data modeling and designing normalized Data Warehouse environments for enterprise level applications; and, implementing those designs using Oracle Data Integrator (ODI) and Extract, Transform, Load technologies
84 months experience developing data integrations for heterogeneous systems and business intelligence using SQL (Structured Query Language).
72 months experience performing database comparative analysis for designing new transactional databases and data warehouses, as well as improvements in existing transactional databases and data warehouses.
60 months experience in analytical reasoning, computation, interpretation, and presentation of data to solve business problems.
48 months experience implementing systematic Data Error/Recovery and Cleanup procedures
24 months experience integrating with Kafka.
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