Ingénieur des données principal

Lieu De Travail

Toronto, Ontario, Canada

Horaire

37.5

Secteur D’activité

Solutions technologiques

Détails De La Rémunération

$96,900 - $136,800 CAD

Ce poste est admissible à une prime de rémunération variable discrétionnaire qui tient compte du rendement de l’entreprise et du rendement individuel.

La TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise.

En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.

Description Du Poste

Provide guidance and advice across a broad range of highly complex or specialized data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL and ELT), metadata enrichment and management, data provenance and lineage, and other specialized data management functions.

• Lead or provide expertise to Data Analysts /Specialists in defining and managing detailed system design for data integration processes or data marts/ warehouse builds or extensions
• Interface with the architecture group to determine the overall solution and ensure conformance to established data management
• standards
• Work closely with various technology teams, business systems analysis, development and project teams in the creation of detailed system requirements, specification documents related
• to Data Management initiatives and resolve information flow and content issues
• Coordinate with various infrastructure teams for assessing impacts of projects on storage, network, database infrastructure
• Create development estimates for various phases of project requests and responsible for reviewing and approving business / system specification requirements, authoring system
• design specifications and system deployment plans
• Collaborate with testing services and approving test strategy and plans
• Coordinate with project managers and resource manager to establish project plan and allocate resources to the project
• Responsible for leading the implementation and support of leading-edge, data warehouse / big data environments
• Support data warehouse (ETL) data management process in database usage and data warehousing.
• Extract data from homogeneous or heterogeneous data sources and transform the data for storing in proper format or structure for querying and analysis purposes
• Load data into the final target (database, operational data stores, data marts, or data warehouse)
• Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
• Provide data management expertise t to the development and testing teams to resolve data issues
• Implement , maintain and enhance Data Governance, Data Quality and related policies, in alignment with TD's Enterprise standards and frameworks in collaboration with the Data
• Managers/Stewards/Owners
• Oversee that requirements regarding privacy and security of data, data governance and access controls are appropriately captured.
• Comply with well-defined enterprise technology delivery practices and standards and project management disciplines
• Lead coordination efforts with other technology work teams such as, ITS, Architecture, TRMIS etc. to ensure project success
• Perform or lead complex analysis in an evolving data environment and gather, analyze, document and maintain all data requirements related to the business applications, interfaces,
• and reporting environments in different kinds of data maps.
• Apply standards and best practices to ensure that the application’s data is accurate, complete, current, understandable, and accessible
• Define, build and manage data dictionary / catalog for respective data platforms, systems / servers / applications
• Manage and coordinate efforts of data modelers, data warehouse/data integration developers, and Extract, Transform and Load conformance to established data management
• standards
• Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
• Participate in knowledge transfer within the team and business; Continuously enhance knowledge / expertise in own area and keep current with leading-edge technologies trends
• Identif