Production Support Analyst
Job in
Toronto, Ontario, M5A, Canada
Listing for:
Synechron
Full Time
position
Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 80000 CAD Yearly
CAD
70000.00
80000.00
YEAR
Job Description & How to Apply Below
We are
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.
Our challenge
We are seeking is seeking a Production Support Analyst to support critical data and analytics platforms used across front-office, risk, and reporting functions. This role sits at the intersection of data operations, platform stability, and business enablement, requiring strong technical troubleshooting skills alongside the ability to partner closely with business and technology stakeholders. The ideal candidate brings hands-on experience supporting ETL pipelines, cloud-based data platforms (Databricks, Snowflake), and containerized microservices, with a strong sense of ownership in a high- availability production environment.
Additional Information*
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON (hybrid from day one – 4 days on site) is CAD $70K PA to CAD $80K /year & benefits (see below).
The Role
Responsibilities:
Production & Platform Support
Provide L2/L3 production support for data platforms and ETL pipelines supporting Capital Markets applications.Monitor, troubleshoot, and resolve issues related to batch jobs, data loads, and real-time processes.Perform log analysis and root-cause investigation across application, database, and container logs.Support cross-platform environments, including Linux and Windows systems.ETL & Data Operations
Support ETL operations using IBM Data Stage, including job monitoring, reruns, and failure analysis.Manage and monitor batch scheduling via Control-M, ensuring SLA adherence.Troubleshoot data quality, performance, and data availability issues across pipelines.Support cloud-native workflows, including basic understanding of DAGs and scheduling using Apache Airflow.Cloud, Containers & Databases
Support Databricks environments from an operational and troubleshooting perspective.Provide operational support for Snowflake, focusing on query performance, data availability,and issue resolution.Support containerized microservices using Docker and Kubernetes.Monitor and assist with database performance tuning, including SQL query optimization.Reporting & Business Enablement.
Support Tableau dashboards (maintenance and end-user support; no development required).Work closely with business users to understand issues, prioritize incidents, and provide timelyresolutions.Translate technical issues into clear business impact assessments and updates. Operational Excellence.Participate in incident management, root cause analysis (RCA), and post-incident reviews.Contribute to runbooks, SOPs, and operational documentation.Identify opportunities to improve monitoring, automation, and platform stability.Requirements:
5–7 years of experience in Production Support / Application Support / Data Operations roles.Strong hands-on experience with:ETL tools, preferably IBM Data StageSQL (writing, troubleshooting, and optimizing queries)Databricks (operational support)Linux OS (required) and Windows environmentsDocker and KubernetesBatch scheduling tools such as Control-MExperience supporting Snowflake from an operations/debugging perspective.Familiarity with Apache Airflow and cloud-native job orchestration…
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