Data Engineer III (US)

TD Bank Group; Charlotte (NC); Hybride; USD 110 000 - 160 000; Plein temps

Résumé du poste

TD Bank Group recherche un ingénieur de données expérimenté pour concevoir et optimiser des pipelines, modèles de données et contrôles de qualité. Vous travaillerez avec des équipes transverses pour assurer l'intégration de données critiques dans les systèmes analytiques.

Le candidat idéal maîtrise SQL, Python et Databricks; expérience avec Unity Catalog et Synapse est un plus. Le rôle exige autonomie, sens analytique et capacité à communiquer avec des partenaires métier.

Qualifications

• Plus de 5 ans d'expérience pratique avec SQL et Python.
• Conception et mise en œuvre de modèles de données et d'ETL.
• Expérience avec des bases de données relationnelles d'entreprise.

Responsabilités

• Conduire des initiatives d'ingénierie des données et gouvernance.
• Travailler avec les partenaires pour résoudre des problèmes complexes.
• Présenter des designs techniques et des solutions à des interlocuteurs non techniques.

Connaissances

SQL

Python

Data modelling

ETL development

Data analysis

Formation

Degree, Postgraduate Degree, or Technical Certificate in Data Management

Outils

SQL Server

Synapse

Oracle

Unity Catalog

Databricks Lakehouse

Description du poste

Nous et certains tiers sélectionnés utilisons des technologies et des outils de suivi (témoins) pour recueillir des renseignements sur votre utilisation de ce site Web. Les témoins essentiels soutiennent les fonctionnalités de base du site, la sécurité et la protection des renseignements personnels. Ils restent activés à moins que vous les désactiviez dans les paramètres de votre navigateur. Si vous choisissez de désactiver les témoins essentiels, certaines fonctionnalités du site Web pourraient ne pas fonctionner comme prévu, ce qui pourrait nuire à votre expérience. Les témoins non essentiels recueillent certains renseignements sur votre utilisation de notre site Web, qui fournissent des données supplémentaires et peuvent également être utilisés par des tiers à leurs propres fins et conformément à leurs politiques en matière de protection des renseignements personnels et de témoins. Les témoins non essentiels demeurent désactivés, à moins que vous choisissiez de les accepter. Pour obtenir de plus amples renseignements, consultez notre **.*** Expert knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact and integrate with other technology areas such as Architecture or Infrastructure* Performs highly complex technical tasks independently* Expert 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* Recognized as primary subject matter expert in multiple areas directly and indirectly related to key accountabilities* Consults with peers and partners across multiple teams on all aspects of research, analysis, design, and support* Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience* Graduate Degree preferred* 5+ years of relevant experience* 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* 5+ years of hands-on experience utilizing SQL and Python to develop, analyze, and optimize data-driven solutions.* 5+ years of experience in data modeling, with the ability to design, develop, and maintain basic data models that support business and technical objectives.* 5+ years of hands-on experience with enterprise relational database platforms, such as SQL Server, Synapse Dedicated Pool, or Oracle.* 3+ years of experience championing knowledge growth, best practices, and platform support for Unity Catalog and Databricks Lakehouse solutions across technical teams.* Experience in analyzing and performance tuning SQL queries.* Good experience in Banking/Financial Domain* Strong analytical and problem-solving abilities to troubleshoot and resolve database-related issues.* Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest* Provide thought leadership and/or industry knowledge for Data engineering best practices and participate in knowledge transfer within the team and business unit* Keep 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