Analyste de données principal modernisant les plateformes et pipelines de données d’EDC, société financière publique canadienne. Traduction des besoins opérationnels en modèles, règles de transformation et récits utilisateurs.
About the role
- Data Engineer transforming complex data sources into structured datasets for audit insights. Collaborating with audit professionals using tools like Power BI and ensuring data quality and governance.
Responsibilities
- Design and implement ETL processes to consolidate and clean data from various sources including Snowflake, Databricks, SQL databases, Excel files, SharePoint lists, and unstructured data sources.
- Acquire business context through walkthroughs and stakeholder engagement to ensure audit-relevant data is appropriately understood and used.
- Ensure data models are optimized for performance and usability.
- Validate data outputs against business reports and known benchmarks to ensure accuracy and completeness.
- Implement data quality checks and reconciliation processes.
- Handle sensitive data securely, following internal policies and regulatory standards.
- Apply appropriate data protection techniques (e.g. masking, encryption) and manage access controls.
- Work closely with auditors to understand data requirements and provide technical support.
- Document data flows, transformations, and business logic for transparency and auditability.
- Help improve the audit team data literacy by documenting data fields and libraries.
- Identify opportunities to automate and streamline data preparation and update processes.
- Stay current with best practices in data engineering and analytics.
Requirements
- 2-5 years of experience in data development and data engineering
- Strong ETL skills and experience working with relational databases
- Strong knowledge of SQL and working level knowledge of programming language Python
- Strong documentation practices, experience working with GitHub and Confluence
- Experience working with structured, semi-structured, and unstructured data sources
- Understanding of data governance, validation, and reconciliation techniques, as well as good security practices
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work collaboratively with non-technical stakeholders
- For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
Benefits
- Opportunities for professional growth and development in data and analytics
- Collaborate with a dynamic and supportive team
- Work on impactful projects that support transparency and accountability
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