Senior Support Engineer Data & Analytics Operations

Overview  Senior Support Engineer (Data & Analytics Operations)
Duration: 6 months (extension/conversion possible)

Location:

Toronto, ON or Waterloo, ON (Hybrid – onsite ONCE monthly)
Responsibilities   Support and maintain data and analytics applications in production environments
Monitor, troubleshoot, and resolve application, job, and data issues
Perform performance tuning across databases, applications, and cloud platforms
Support deployments and operational changes using Dev Ops tooling
Lead operational improvements and support incident/problem management processes
Collaborate with project, operations, and vendor teams on enhancements and implementations
Develop and maintain technical and operational documentation
Must-Have Skills & Experience   4+ years supporting cloud-based data and analytics platforms
Solid AWS experience (Glue, Lambda, Redshift, EMR, S3, Athena)

Experience with ETL tools (Informatica Power Center/IICS/IDMC)
Robust SQL scripting and database experience (SQL Server, Oracle, DB2)

Experience with Dev Ops tools (Jenkins, Bitbucket, CI/CD, Ansible)
Knowledge of Windows, Unix/Linux, and large-scale data environments
Nice-to-Have   Exposure to Generative AI or Agentic AI

Experience with SAP BI tools
Mainframe exposure (COBOL, JCL, ZEKE, TSO)
AWS or cloud certifications
Soft Skills   Strong analytical and troubleshooting skills
Excellent communication and stakeholder collaboration
Proactive, curious, and team-oriented mindset
Additional Notes   Operational support role with participation in rotational/on-call support
Hybrid work setting with periodic onsite collaboration
Role requires Reliability Clearance and enhanced background screening

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