Data Integration Lead

Job Summary

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

Requirements

• 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

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