This role supports the FCRM Data Strategy and Management team in designing, implementing, and maintaining data management capabilities and controls aligned with Enterprise Data Management Office (EDMO) requirements, focusing on data lineage, critical data elements, data flows, data quality, and SQL-based analysis.
Compensation
$96,900 - $136,800 CAD
Responsibilities
Design, implement and maintain data management processes and controls (e.g. data lineage, data supply chain, data quality controls, metadata, reference data, data retention and disposition etc.) for critical and business data elements.
Analyze, develop, validate and maintain end-to-end data lineage and data flows across source systems, databases, data pipelines, transformations, interfaces and downstream AML applications.
Analyze data structures across relational databases and data platforms, including tables, fields, relationships, joins and transformations to understand how data is sourced, processed and consumed across AML capabilities.
Define, develop and implement business and technical data quality rules, translating business and regulatory requirements into measurable data quality criteria and appropriate validation logic.
Perform root-cause analysis of complex data issues by tracing data across source systems, transformations and downstream applications.
Requirements
Undergraduate degree or equivalent relevant experience
This role supports the FCRM Data Strategy and Management team in designing, implementing, and maintaining data management capabilities and controls aligned with Enterprise Data Management Office (EDMO) requirements, focusing on data lineage, critical data elements, data flows, data quality, controls, and SQL-based analysis.
Compensation
$96,900 - $136,800 CAD
Responsibilities
Design, implement and maintain data management processes and controls (e.g. data lineage, data supply chain, data quality controls, metadata, reference data, data retention and disposition etc.) for critical and business data elements.
Analyze, develop, validate and maintain end-to-end data lineage and data flows across source systems, databases, data pipelines, transformations, interfaces and downstream AML applications.
Analyze data structures across relational databases and data platforms, including tables, fields, relationships, joins and transformations to understand how data is sourced, processed and consumed.
Define, develop and implement business and technical data quality rules, translating business and regulatory requirements into measurable data quality criteria and appropriate validation logic.
Perform root-cause analysis of complex data issues by tracing data across source systems, transformations and downstream applications.
Requirements
Undergraduate degree or equivalent relevant experience
Lead and direct Clinical Data Science project teams in the initiation, planning, setup, maintenance, control, and closing of systems used in clinical trial projects.
Locations (4)
Bogota, Colombia
United States
Canada
Mexico
Responsibilities
Support sales efforts by participating in and providing expertise to Business Development and assist with and present at Bid Defense meetings
Perform peer review of study team technical documentation and work output
Act as a contact point for internal and external customer teams on assigned studies
The Data Conversion Engineer supports the transformation and migration of utility billing data from legacy systems into a modern utility and billing platform using ETL processes.
Responsibilities
Lead and manage ETL migration processes across multiple concurrent projects
Develop and maintain efficient extraction, transformation, and loading scripts, utilizing Python, SQL, and related data engineering tools
Implement feedback-driven improvements from clients and internal teams
Actively contribute to data quality assurance processes and review datasets for accuracy
Conduct in-depth analysis and profiling of diverse source database schemas
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