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indeed

Data Engineer III

TD
Toronto, CAN
Full-time
Senior
Onsite
$125,500 to $154,000
Discovered 1 weeks ago
Data engineeringData modelingData quality and profilingData acquisition and ingestionExtract, transform, load (ETL)Metadata management
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Data engineeringData modelingData quality and profiling
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Role Overview

The team operates high-scale ingestion, orchestration, and data-retention frameworks for TD's Rahona big data platform.

The role covers advanced data engineering and supports the platform's AI-driven data-engineering capability.

Compensation

  • Base pay is listed as $125,500 to $154,000 CAD.
  • The posted pay reflects a temporary market premium that is reassessed annually.

Hours

  • The stated hours are 37.5.

Customer Responsibilities

  • Analyze data and assess complex data-management requirements for platforms or journeys.
  • Support data acquisition and ingestion.
  • Develop data models, ETL, business rules, lifecycle management, governance, lineage, and metadata solutions.
  • Maintain complex data models and ETL jobs.
  • Support complex data investigations and stakeholder data interpretation.

Delivery and Governance

  • Coordinate with technology teams on delivery, testing, deployment, and release activities.
  • Lead data engineering initiatives and organizational governance capabilities.
  • Participate as a lead contributor in application design and architecture reviews.
  • Capture metadata and lineage in compatible enterprise tools and processes.
  • Follow secure coding practices, document risks and decisions, and manage high-risk activities.

Team Responsibilities

  • Provide thought leadership and industry knowledge for data engineering best practices.
  • Mentor and enable team members through knowledge transfer and engineering practices.
  • Guide teams, resolve issues proactively, and build productive stakeholder relationships.

Qualifications

  • Degree, postgraduate degree, or technical certificate in Data Management or a related discipline, or equivalent practical experience.
  • Five to seven years of relevant experience.
  • Expert knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures.
  • Ability to perform highly complex technical tasks independently and deliver tested technical solutions.
  • Primary subject-matter expertise across multiple areas related to the role.
  • Ability to consult across teams on research, analysis, design, and support.
  • A graduate degree is desirable.

Work Location

  • The stated work location is Toronto, Ontario, Canada.

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