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TD Securities · 8 hours ago

Data Engineer II (US)

Mount Laurel, NJ

Full-time

Onsite

Mid Level

$79K/yr - $128K/yr

3+ years exp

TD Securities is one of the world's leading global financial institutions, and they are seeking a Data Engineer II to provide a broad range of data engineering functions. The role involves data modeling, data quality, data acquisition, and ingestion, as well as supporting complex data management tasks.

BankingFinanceFinancial Services

H1B Sponsor Likely

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 data standards, policies, and guidelines

Develops and maintains complex data models using industry standard modeling tools

Develops and maintains complex ETL jobs and frameworks using the Bank's standard tools

Provides support to the development and testing teams to resolve data issues, including escalation support on complex issues

Supports partners and stakeholders in interpreting and analyzing data

Builds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables

Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success

Supports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing

Provides oversight on post implementation activities during the warranty period

Executes & approves 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 the lead participant in the design & architecture reviews or the application

Raises service-now requests and works with the change management team to support release management activities

Leads 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 & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilities

Ensures technical decisions, technical risks and lessons learned are identified, 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

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

Enables team members by sharing knowledge and leveraging engineering best practices

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

Provides thought leadership and/or industry knowledge for Data engineering best practices 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

Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices

Supports the team by providing guidance and proactively identifying and resolving issues

Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships

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

Qualification

Data EngineeringSQL ServerETLAlteryxAzure Data FactoryData ModelingCollaborationProblem SolvingCommunication

Required

Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience

3+ years of relevant experience

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