Data Engineer Job Toronto area,Ontario Canada,IT/Tech

Position: Data Engineer I

Description

Provide 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.

CUSTOMER

Perform data analysis and assess data management requirements for a specific Platform or Journey.

Maintain foundational knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata

Support the acquisition and ingestion of data

Articulate technical design and development details to non-technical business partners

Elicit, analyze, and understand business and data requirements to develop complete business solutions under the guidance of senior peers and managers, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata

Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines

Develop and maintain data models using industry standard modeling tools

Develop and maintain ETL jobs using the Bank's standard tools

Provide support to the development and testing teams to resolve data issues

Support partners and stakeholders in interpreting and analyzing data

Build effective working relationships to collaborate with peers and partners on personal deliverables

Provide data governance and availability support

SHAREHOLDER

Coordinate with technology work teams such as ITS, ARE, etc. to ensure overall delivery success

Support the QA team with any data loads and data analysis/investigations as part of SIT/UAT/PAT testing

Provide post implementation support to the production support team during the warranty period

Execute code check-in/ check-out into source code repository as part of source code management

Work closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments

Be an active participant in the design & architecture reviews of the application

Raise service-now requests and work with the change management team to support release management activities

Understand data engineering initiatives and capabilities, data governance principles and how they apply across the organization

Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes

Adhere to standard security coding practices to ensure application is free of most common coding vulnerabilities

Ensure privacy, security, governance, and access controls are properly adhered to

Ensure technical decisions, technical risks and lessons learned are clearly documented and enhancements are accordingly implemented

Protect the interests of the organization – identify and manage risks, and escalate non-standard, high-risk activities as necessary

Adhere to internal policies/procedures and applicable regulatory guidelines

EMPLOYEE / TEAM

Participate fully as a member of the team, support a positive work 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 own area and participate in knowledge transfer within the team and business unit;
Support knowledge-sharing across teams and with relevant stakeholders, ensuring knowledge is codified, monitored, tracked and managed

Work collaboratively with the team and leadership to proactively identify and resolve issues related to product quality

Work collaboratively with the data engineering team to define and validate appropriate user stories, acceptance criteria and definitions of done / ready

Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques

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.

Contribute to a fair, positive and equitable environment that supports a diverse workforce

Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH

Foundational knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures

Performs moderately complex technical tasks independently

Performs complex technical tasks under general supervision

Foundational knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards

Designs and develops to meet business and technical requirements; analyzes,…


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