Offer summary

Qualifications:

Bachelor's degree in computer science or a related field., Minimum of six years of experience in information management or a related field., Hands-on technical experience in ETL design and implementation., Experience leading diverse technical teams on complex data migration projects..

Key responsibilities:

Guide a data team of 4-10 experienced resources for the CRAVES Deployment Project.

Manage data from various sources for successful migration to the SaaS environment.

Engage with internal and external stakeholders to support data migration efforts.

Oversee end-to-end delivery of data migration and cleansing projects.

Job description

This is a remote position.

Job description:

Service New Brunswick (SNB) requires a single information technology resource capable of performing the technical leadership role in order to guide a data team of 4-10 experienced resources to support the CRAVES Deployment Project in SNB Property Assessment Services for its successful data migration and conversion delivery and provides needed support to the project manager of the CRAVES Deployment Project to achieve the business objective by managing all sorts of data from different sources relevant to the project and engaging the internal and external stakeholders for successful data migration to the SaaS environment.

Qualifications:

A bachelor's degree in computer science or a related field, along with a minimum of six years of experience in information management or a related field.
Demonstrated hands-on technical Experience in ETL (Extract Transform Load) design and implementation involving the extraction and provisioning of data from a variety of legacy systems.
Demonstrated in applying knowledge and methods of data migration best practices and expertise in using common tools for extraction, conversion, and loading, testing, including but not limited to SQL in Oracle, MS SQL Server, and MS Access RDBMS environments;
Demonstrated experience in creating automated scripts for mass data testing and analysis, ensuring the accuracy and integrity of converted data and computed values.
Demonstrated experience leading diverse technical teams on complex data migration and cleansing projects in large enterprises, overseeing end-to-end delivery from planning to implementation, and working collaboratively and autonomously.