Data Engineer I (Mainframe)

TD•Toronto, ON

3d•CA$69,700 - CA$98,400•Onsite

About The Position

The Canadian Personal Banking (CPB) data team supports CPB operations and analytics partners in their data needs. This role involves a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. The position requires performing Mainframe job runs, scheduling, and support, as well as incident management on the Rahona Cloud Environment. It also involves completing data analysis, assessing data management requirements for specific platforms or journeys, and maintaining expert knowledge of upstream data through profiling, quality reporting, and metadata production. The role requires articulating technical designs to non-technical partners, eliciting and analyzing business requirements to develop solutions including data models, ETL, and data lifecycle management. Additionally, it involves developing and maintaining complex data products and ETL jobs, providing support to development and testing teams, ensuring compliance with enterprise data standards, and supporting stakeholders in data interpretation and analysis. The role also includes executing code check-ins, coordinating with technology teams, raising service-now requests, supporting release management, and assisting the QA team with data analysis. Adherence to security coding practices, internal policies, and regulatory guidelines is essential, as is ensuring metadata and data lineage are captured and compatible with enterprise tools. Documenting technical decisions, risks, and lessons learned is also part of the role. Teamwork, continuous learning, knowledge transfer, and participation in personal development activities are expected.

Requirements

Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
2-3 years of hands-on experience
Working experience and/or knowledge with Mainframe TSO/ISPF, SAS, SQL, Endevor, CA7
Experience working with Jira, in Agile format
Experience with ETL tools
Experience with Service Now (incident, change, problem management)

Nice To Haves

Knowledge and/or experience with Azure
Knowledge and/or experience with Databricks
Knowledge and/or experience with ADF
Knowledge and/or experience with Pyspark
Knowledge and/or experience with Python
Knowledge and/or experience with BitBucket/GitHub

Responsibilities

Perform Mainframe job run, schedule and support; and Incident management on Rahona Cloud Env.
Complete data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products
Maintain expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
Articulate technical design and development details to non-technical business partners
Elicit, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata
Develop and maintain complex data products, ETL jobs and frameworks using the Bank's standard tools and best practices
Provide support to the development and testing teams to resolve data issues, including escalation support on complex issues
Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines
Support partners and stakeholders in interpreting and analyzing data
Understand data engineering initiatives and capabilities, data governance principles and how they apply across the organization
Execute & approve code check-in/ check-out into source code repository as part of source code management
Coordinate with technology work teams such as ITS, Architecture, Enterprise Protect etc. to ensure overall delivery success
Raise service-now requests and work with the change management team to support release management activities
Support the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/PAT testing
Adhere & contribute towards standard security coding practices to ensure application is free of most common coding vulnerabilities
Adhere to internal policies/procedures and applicable regulatory guidelines; ensure privacy, security, governance, and access controls are properly adhered to
Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
Ensure technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented
Participate fully as a member of the team, support a positive environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
Support the team by continuously enhancing knowledge/expertise in data engineering industry, keep current on emerging trends/developments, grow knowledge of related tools and techniques, and participate in knowledge transfer within the team and business unit
Participate in personal performance management and development activities, including cross training within own team
Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
Contribute to the success of the team by willingly assisting others in the completion and performance of work activities; provide training, coaching and/or guidance as appropriate.
Act as a brand ambassador for your business area/function and the bank, both internally and/or externally