Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
SL
Senior Support Engineer – Data & Analytics Operations, Cloud, Data Warehouse
Posted last month
About the role
- Sr. Support Engineer responsible for operational support and safeguarding client data in Cloud/Data Warehouse operations. Collaborating with stakeholders and project teams in a hybrid work environment.
Responsibilities
- Work with stakeholders, business leaders to influence, impact, and deliver on operational improvements, incidents, assignments & solutions that are complex and strategic in nature
- Act as Operations Lead working with project development teams to ensure transition of operational support
- Maintain and support end-to-end application operations
- Monitor and support jobs and application performance
- Use excellent analytical skills to dive into the processes we support to resolve complex data discrepancies or job failures
- Lead, monitor, identify and implement operational improvements
- Develop an understanding of the business applications supported as well as the business direction
- Ensure compliance with Incident, Problem and Change Management policies and processes
- Deploy enhancements to production jobs using DevOps tools
- Ensure appropriate prioritization and resolution of defects in accordance with agreed upon SLA
- Provide on-going communication to key stakeholders to ensure they are aware of significant changes in a timely manner
- Provide technical documentation that includes design and operational support documentation
- Deliver innovative solutions by leveraging data and technology
- Engage, influence and work collaboratively with Project Teams, Operation teams and vendors
- Proactively share knowledge and coach others to build the support engineering community
Requirements
- 4+ Years of experience with Datawarehouse & Analytics technologies is required
- Datawarehouse (DW) and Business Intelligence (BI) environments
- ETL Tools: Informatica PowerCenter/Informatica Intelligent Data Management Cloud (IDMC)
- Mainframe technologies; TSO, ZEKE, JCL, COBOL
- Databases: Microsoft SQL Server, Oracle, DB2, flat files
- Knowledge/Experience in Windows and Unix SQL Scripting
- SAP technologies: Universe Designer, Web Intelligence, Crystal Reporting
- Experience using GitHub Copilot
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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