Sr Support Engineer (Data & Analytics Operations)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Sr Support Engineer (Data & Analytics Operations): Providing operational support for on-premise and cloud-based data warehouses and business intelligence applications with an accent on mainframe-to-cloud transitions and data pipeline maintenance. Focus on troubleshooting complex data consumption issues, optimizing ETL processes, and ensuring system reliability in a 24/7 rotational environment.
Location: Toronto, Ontario (Hybrid)
Salary: $65,000–$105,000
Company
is a leading international financial services organization providing insurance, wealth, and asset management solutions to individuals and corporate clients.
What you will do
- Safeguard client data by providing superior operational support for on-premise and cloud-based data environments.
- Analyze and troubleshoot data consumption issues, including fixing or enhancing code logic.
- Build and support ETL processes, data integration pipelines, and centralized historical data repositories.
- Manage batch operations, including schedulers, failure analysis, and recovery procedures.
- Collaborate with project teams and vendors while maintaining high-quality technical documentation.
- Continuously monitor environments to identify and implement operational improvements.
Requirements
- Must be able to obtain a Government of Canada Reliability Status security clearance.
- 2+ years of experience in Mainframe development (TSO, ZEKE, JCL, COBOL).
- Strong proficiency in ETL tools (Informatica, IDMC, MDM, AWS Glue) and SQL.
- Experience with Business Intelligence applications and reporting design.
- Must be available for 24x7 rotational support.
- Solid understanding of ITIL policies for incident, problem, and change management.
Nice to have
- AWS experience or relevant certifications.
- Experience with DevOps tools (BitBucket, Jenkins, Ansible).
- Familiarity with Generative AI and GitHub Copilot.
Culture & Benefits
- Competitive salary and discretionary incentive plans.
- Comprehensive pension, stock, and savings programs.
- Environment focused on continuous learning and professional development.
- Hybrid work model offering flexibility between office and virtual environments.
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