Production Support Analyst ensuring stability of enterprise systems and troubleshooting issues. Collaborating with teams for timely incident resolution in a hybrid work environment.
About the role
- Support Engineer for Data & Analytics operations at Sun Life. Responsible for maintaining core legacy applications and safeguarding client data across Cloud technologies.
Responsibilities
- Work with stakeholders and business leaders to influence, impact, and deliver on operational improvements, incidents, assignments & solutions that are complex and strategic in nature
- Act as Operations Lead as part of project/development teams to schedule implementation of changes
- Lead, monitor, identify and implement operational improvements
- Develop an understanding of the business applications supported as well as the business direction
- Maintain and support end-to-end application operations
- Perform performance tuning for queries, applications, and resources across the technology stack
- Monitor and support jobs and application performance
- Ensure compliance with Incident, Problem and Change Management policies and processes
- Deploy enhancements to production using DevOps tooling
- Ensure appropriate prioritization and resolution of defects in accordance with agreed upon SLA
- Provide ongoing communication to key stakeholders regarding significant changes
- Provide technical documentation including design and operational support documentation
- Deliver innovative solutions by leveraging data and technology
- Engage and work collaboratively with Project Teams, Operation teams and vendors
Requirements
- Background or education in Computer or Data Science, Engineering, Software Development or IT Application/Technical support
- Experience with Cloud technology, including Big Data solutions preferably using Amazon Web Services (AWS) or equivalent Public Cloud
- AWS or equivalent Cloud Certifications, including AWS Glue, Lambda, Redshift, Python/R, Hive/Athena, EMR, S3
- Experience with ETL Tools; Informatica (IICS) on premise or Cloud (IDMC)
- Knowledge of Very large data sets; ability to build programs that leverage distributed computing
- Experience with Datawarehouse & Analytics technology; ETL Tools: Informatica PowerCenter/Informatica Intelligent Data Management Cloud (IDMC)
- Familiarity with Mainframe technologies; TSO, ZEKE, JCL, COBOL
- Proficiency in databases: Microsoft SQL Server, Oracle, DB2, flat files
- Knowledge/Experience in Windows and Unix
- Familiarity with SAP technologies: Universe Designer and Web Intelligence
- Knowledge of Generative AI and Agentic AI is an additional asset
Benefits
- Competitive salary and bonus structure influenced by market range data
- Pension, stock, and savings programs to help build and enhance your future financial security
- An environment of continuous learning and improvement
- Flexible hours and periodic work from home options
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