Data Engineer I (US)

TD Bank•Mount Laurel, NJ

1d•Onsite

About The Position

This Data Engineer I role 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. 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, adapts, integrates, codes, tests, debugs, and executes. Uses and evolves established patterns to solve routine problems; contributes to new patterns where necessary.

Requirements

Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
2+ years of relevant experience which can include project work from degree program

Responsibilities

Performs data analysis and assesses data management requirements for a specific Platform or Journey
Maintains foundational 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 technical design and development details to non-technical business partners
Elicits, analyzes, and understands 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
Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines
Develops and maintains data models using industry standard modeling tools
Develops and maintains ETL jobs using the Bank's standard tools
Provides support to the development and testing teams to resolve data issues
Supports partners and stakeholders in interpreting and analyzing data
Builds effective working relationships to collaborate with peers and partners on personal deliverables
Provides data governance and availability support
Coordinates with technology work teams such as ITS, ARE, etc. to ensure overall delivery success
Supports the QA team with any data loads and data analysis/investigations as part of SIT/UAT/PAT testing
Provides post implementation support to the production support team during the warranty period
Executes code check-in/ check-out into source code repository as part of source code management
Works closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments
Is an active participant in the design & architecture reviews of the application
Raises service-now requests and works with the change management team to support release management activities
Understands data engineering initiatives and capabilities, data governance principles and how they apply across the organization
Ensures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
Adheres to standard security coding practices to ensure application is free of most common coding vulnerabilities
Ensures privacy, security, governance, and access controls are properly adhered to
Ensures technical decisions, technical risks and lessons learned are clearly documented and enhancements are accordingly implemented
Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessary
Adheres to internal policies/procedures and applicable regulatory guidelines
Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues / points of interest
Supports the team by continuously enhancing knowledge / expertise in own area and participates in knowledge transfer within the team and business unit
Keeps current on emerging trends / developments and grows knowledge of the business, related tools and techniques
Participates in personal performance management and development activities, including cross training within own team
Keeps 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
Contributes to the success of the team by willingly assisting others in the completion and performance of work activities; provides training, coaching and/or guidance as appropriate
Contributes to a fair, positive and equitable environment that supports a diverse workforce
Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally