TD Bank
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Ces témoins n’enregistrent pas de renseignements personnels permettant l’identification.**Work Location:**Mount Laurel, New Jersey, États-Unis d'Amérique**Hours:**40**Pay Details:**$32.22 - $61.06 USDTD 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.As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.**Line of Business:**Solutions technologiques**Job Description:**The Data Engineer I 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.**Depth & Scope:*** 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**Education & Experience:*** 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**Customer Accountabilities:*** 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**Shareholder Accountabilities:*** 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**Employee/Team Accountabilities:*** 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**Preferred Qualifications:*** Databricks* Azure* Python* PySpark* ADF* Data Products* Banking domain experience**Physical Requirements:**Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%* Domestic Travel – Occasional* International Travel – Never* Performing sedentary work – Continuous* Performing multiple tasks – Continuous* Operating standard office equipment - Continuous* Responding quickly to sounds – Occasional* Sitting – Continuous* Standing – Occasional* Walking – Occasional* Moving safely in confined spaces – Occasional* Lifting/Carrying (under 25 lbs.) – Occasional* Lifting/Carrying (over 25 lbs.) – Never* Squatting – Occasional* Bending – Occasional* Kneeling – Never* Crawling – Never* Climbing – Never*
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