Data Engineer II (US)

About the role

The Data Engineer II provides 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.

Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure

Performs complex technical tasks independently

Advanced 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, adapts, integrates, codes, tests, debugs, and executes

Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary

May be recognized as a subject matter expert in areas directly related to key accountabilities

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Responsibilities

• Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products
• Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
• Supports the acquisition and ingestion of data
• Articulates complex, large scale, and high impact technical design and development details to non-technical business partners
• Elicits, analyzes, and understands 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
• Ensures data is maintained in compliance with enterprise