Data Modeller
Job in
Toronto, Ontario, M5A, Canada
Listing for:
Cynet Systems
Full Time
position
Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Job Description :
Required:
6+ years of progressive experience in the data and analytics, including large customer data bases and work with product, geographic, demographic, customer, prospect, producer, social, machine and unstructured data to identify trends and opportunities), business consulting, or data governance field and/or manipulation of complex high-volume data from a variety of sources.Experience successfully developing and implementing complex data and analytic solutions that meet business needs within tight time frames.Experience in AWS.Programming in Python a plus.Responsibilities:Candidate must have strong skills in data profiling, mapping , data modeling and data governance.Includes ability to query data repositories to determine Source to target mappings, data quality, completeness and transformation rules necessary for merging into target repositoriesStrong skills in Informatica, Informatica Data Quality, Information Analyzer, and IBM data architect, Erwin is big plus. Strong SQL skills are a must.Hands-on experience in creating/updating conceptual, logical, and physical data models most appropriately needed to satisfy the business requirements.Should be able to understand and explain complex data integration and extraction/transformation/load processes (ETL).Should be able to work with the business to define scope of Data-centric or supportive projects.Should be competent in reviewing the Project Initiation Document, Reference/Domain value mapping.Should be able to work with Business and Architects to identify Pain points impacting data capabilities.Should be able to establish a program/project-specific Data Analysis approach.Should be competent at Source-Target Data mapping, S/T Record building/ Join conditions, writing transformations building data lineage.Should be able to conduct Peer Reviews.Should be able to support ETL/Test questions, output file validation, and defect analysis.Should ensure data analysts (and other data leads, as necessary) are following standard work and best practices.
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