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Data Modeler

2 months ago

Toronto Ontario, Ontario, Canada Apex Systems Full time

Data Modeler

Apex Systems is a global IT services provider and our staffing practice has an opening for a Data Modeler professional who is proficient in building data models front to back and has experience within Capital Markets environemtn to be placed at our client, a Big Five Bank.


  • Client: Big Five Bank, Enterprise Data Management Office
  • Terms: 6 month Contract with strong chance of extension
  • Location: Hybrid Downtown Toronto - 1-2 days in office per week.


Purpose

Seeking a skilled and experienced Data Modeler to join our team. The successful candidate will be responsible for designing, implementing and maintaining complex data models for financial services applications, in order to support business operations, analysis and decision making. This role will require a deep understanding of Capital Markets data and systems, as well as strong analytical, communication and collaboration skills.


Must Haves:

  • 5+ years of experience in financial services data modeling, with deep knowledge of Banking/ Capital Markets data domains, such as ( risk management, etc.
  • Strong proficiency in data modeling techniques and tools, such as ERwin, Purview, PowerDesigner, Power BI etc.
  • Excellent analytical and problem-solving skills, with the ability to identify and resolve complex data modeling issues and challenges.
  • Good understanding of data management concepts and practices, such as data quality, metadata management, managing data, Structure data, data dictionary, format data and content, data lineage, data integration, data governance, etc.

Nice to have

  • Experience data brick with Data Bricks and Azure environments
  • Job DescriptionCollaborate with business stakeholders, data analysts, developers and architects to understand business requirements, data sources and data flows, and design data models that meet business needs and technical standards.
  • Develop and maintain conceptual, logical and physical data models for financial services applications, ensuring data accuracy, completeness, consistency and integrity.
  • Create and maintain data dictionaries, data lineage, metadata and other documentation related to data models and data management processes.
  • Perform data profiling, data quality analysis and data cleansing activities to ensure data accuracy and completeness, and identify data issues and trends.