Data Engineer I (ETL developer)

United States Digital Space LLC; Toronto; On-site; CAD 69,700 - 98,400; Full time

Job summary

TD, located in Toronto, Canada, is seeking a Data Engineer to support the CPB data team. You will perform data modeling, profiling, ETL, and metadata management to support analytics partners across the organization.

The role requires 2-3 years of hands-on experience with Azure, Databricks, ADF, PySpark, Python, SQL, and source control. On-site work at TD locations in Canada is expected with discretionary variable compensation and a focus on data governance.

Qualifications

• Degree or equivalent in data management or related field.
• 2-3 years of hands-on development with Azure, Databricks, ADF, PySpark, Python, SQL.
• Experience with ETL tools and development.
• Agile experience and effective communication.
• Mainframe knowledge is an asset.

Responsibilities

• Provide data modeling, data quality, profiling, ETL, metadata management and lineage.
• Develop and maintain complex data products and ETL jobs.
• Ensure data governance, standards compliance and data provenance.
• Collaborate with partners to understand requirements and deliver data solutions.
• Support QA and testing activities and participate in release management.

Skills

ETL tools

Agile

Data analysis

Education

Degree/PG/Tech certificate in Data Management or related discipline

Tools

Azure

Databricks

ADF

PySpark

Python

SQL

Bitbucket/GitHub

Job description

Work Location

Toronto, Ontario, Canada

Hours

37.5

Line of Business

Technology Solutions

Pay Details

$69,700 - $98,400 CAD. This role is eligible for a discretionary variable compensation award that considers business and individual performance. TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

Job Description

Department Overview

The team is the Canadian Personal Banking (CPB) data team. The team supports CPB operations and analytics partners in their data needs.

Job Details – What You'll do

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.

Key Accountabilities

• Perform 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

Where You'll Work

You’ll work primarily on site at TD location for highly collaborative meetings, team events and experiences. The hiring manager will provide more information about how this works for their team

Job Requirements – What you'll need to succeed

• 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 development experience with Azure, Databricks, ADF, Pyspark, Python, SQL, BitBucket and/or GitHub
• Working experience with ETL tools and development
• Agile experience, effective communication
• Mainframe Knowledge or experience is an asset.

Additional Information

• Foundational knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure
• Foundational knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards
• Performs moderately complex technical tasks independently
• Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes
• Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well‑being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well‑being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.