Data Integration Lead

Job description

Must-have · Bachelor’s degree in IT, Computer Science, or related technical field · 7+ years of work experience as a Developer or Technical Systems Analyst · 3+ years of work experience on Information Technology projects supporting an enterprise-wide environment · Strong technical experience working with IBM Data Stage, SQL, and Shell scripting · Experience working on projects developing and implementing applications for business stakeholders · Strong analytical skillset, including the ability to transform business logic described in business requirements into solutions that include integration between DataStage servers and databases. · A self-starter attitude (e.g., someone who can take initiative to own their project and drive it to completion) · Hands-on working knowledge of SQL Server · Dig deep into performance, scalability, capacity, and reliability problems to resolve them · Experience with design patterns, data structures and algorithms, strong mathematical/analytical background. · Basics in AI and Gen AI and knowhow of the tools such as CoPilot. Nice-to-have • Previous experience in Finance or FinTech • Working knowledge of Confluence and/or Jira would be an asset • Experience in agile or design thinking methodologies • Experience with SCM tools such as GitHub, Subversion, CA Harvest would be an asset. • Experience working with DevOps pipelines (GitHub, Maven, Jenkins, Urban Code Deploy), continuous integration/delivery, automated testing (unit, functional, performance) • Know-how on Snowflake, Cloud, Gen AI areas would be a plus • Understanding of the Capital Markets trading and reference data and relationships