TD
Data Engineer III (Business Data Analyst )
TD, Charlotte, North Carolina, United States, 28245
Job Description:The Business Data Analyst family provides data-oriented professionals who work as agents focused on ensuring technology and processes align within the business. They are Subject Matter Experts in the products/domains/assets they analyze/support and are a perfect blend of Business Analyst and Data Analyst. They work closely with the Business System Analysts, technology partners/teams, data owners, data stewards, asset owners, and business partners to ensure the products are audit compliant with regulatory requirements and meet the business needs.Provide 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: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 InfrastructurePerforms highly complex technical tasks independentlyExpert knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standardsDesigns and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executesUses and evolves established patterns to solve complex problems; leads the development of new patterns where necessaryRecognized as primary subject matter expert in multiple areas directly and indirectly related to key accountabilitiesConsults with peers and partners across multiple teams on all aspects of research, analysis, design, and support
Education & Experience:Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experienceGraduate Degree preferred5+ years of relevant experience
Customer Accountabilities:Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or productsMaintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadataSupports the acquisition and ingestion of dataArticulates complex, large scale, and high impact technical design and development details to non-technical business partnersElicits, 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 metadataEnsures data is maintained in compliance with enterprise data standards, policies, and guidelinesDevelops and maintains complex data models using industry standard modeling toolsDevelops and maintains complex ETL jobs and frameworks using the Bank's standard toolsProvides support to the development and testing teams to resolve data issues, including escalation support on complex issuesSupports partners and stakeholders in interpreting and analyzing dataBuilds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables
Shareholder Accountabilities:Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery successSupports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testingProvides oversight on post implementation activities during the warranty periodExecutes & approves code check-in/ check-out into source code repository as part of source code managementWorks closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environmentsIs the lead participant in the design & architecture reviews or the applicationRaises service-now requests and works with the change management team to support release management activitiesLeads data engineering initiatives and capabilities, data governance principles and how they apply across the organizationEnsures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processesAdheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilitiesEnsures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implementedProtects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessaryAdheres to internal policies/procedures and applicable regulatory guidelinesKeeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniquesEnables team members by sharing knowledge and leveraging engineering best practices
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 interestProvides thought leadership and/ or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unitKeeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniquesParticipates in personal performance management and development activities, including cross training within own teamKeeps others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activitiesActively mentors and enables team members by sharing knowledge and leveraging engineering best practicesSupports the team by providing guidance and proactively identifying and resolving issuesLeads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationshipsContributes to a fair, positive and equitable environment that supports a diverse workforceActs as a brand ambassador for your business area/function and the bank, both internally and/or externallyPreferred Qualifications:Previous experience with Customer Data in Banking DomainPrevious experience at large US BanksBanking Risk and Regulatory Knowledge
#J-18808-Ljbffr
Education & Experience:Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experienceGraduate Degree preferred5+ years of relevant experience
Customer Accountabilities:Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or productsMaintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadataSupports the acquisition and ingestion of dataArticulates complex, large scale, and high impact technical design and development details to non-technical business partnersElicits, 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 metadataEnsures data is maintained in compliance with enterprise data standards, policies, and guidelinesDevelops and maintains complex data models using industry standard modeling toolsDevelops and maintains complex ETL jobs and frameworks using the Bank's standard toolsProvides support to the development and testing teams to resolve data issues, including escalation support on complex issuesSupports partners and stakeholders in interpreting and analyzing dataBuilds effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables
Shareholder Accountabilities:Coordinates with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery successSupports the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testingProvides oversight on post implementation activities during the warranty periodExecutes & approves code check-in/ check-out into source code repository as part of source code managementWorks closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environmentsIs the lead participant in the design & architecture reviews or the applicationRaises service-now requests and works with the change management team to support release management activitiesLeads data engineering initiatives and capabilities, data governance principles and how they apply across the organizationEnsures metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processesAdheres & contributes towards standard security coding practices to ensure application is free of most common coding vulnerabilitiesEnsures technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implementedProtects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessaryAdheres to internal policies/procedures and applicable regulatory guidelinesKeeps current on emerging trends/ developments and grow knowledge of the business, related tools, and techniquesEnables team members by sharing knowledge and leveraging engineering best practices
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 interestProvides thought leadership and/ or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unitKeeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniquesParticipates in personal performance management and development activities, including cross training within own teamKeeps others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activitiesActively mentors and enables team members by sharing knowledge and leveraging engineering best practicesSupports the team by providing guidance and proactively identifying and resolving issuesLeads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationshipsContributes to a fair, positive and equitable environment that supports a diverse workforceActs as a brand ambassador for your business area/function and the bank, both internally and/or externallyPreferred Qualifications:Previous experience with Customer Data in Banking DomainPrevious experience at large US BanksBanking Risk and Regulatory Knowledge
#J-18808-Ljbffr