Data engineering advisor developing scalable data platforms and pipelines for Desjardins. Designing, integrating, and improving data systems aligned with business needs.
About the role
- Senior Data Engineer building scalable analytics infrastructure at CreatorIQ for enterprise partners. Focused on data architecture and real-time insights for influencer marketing.
Responsibilities
- Design and implement ETL pipelines migrating from transactional databases to analytical data warehouses
- Create real-time data ingestion systems processing campaign data, user metrics, and business intelligence
- Build multi-tenant data models with proper partitioning strategies for enterprise-scale clients
- Develop data quality frameworks with comprehensive validation, monitoring, and alerting
- Implement Row-Level Security (RLS) and Role-Based Access Control (RBAC) in analytical databases
- Design dynamic permission models supporting organization-level and division-level data access
- Build session-based context management for secure multi-tenant queries
- Create comprehensive audit trails and access logging for compliance requirements
- Design database schemas with advanced partitioning and indexing strategies
- Build materialized views and aggregated tables for real-time analytics
- Implement query optimization, data skipping, and compression techniques
- Handle high-concurrency embedded dashboard usage with sub-second query performance
- Build dashboard data sources with optimized SQL transformations
- Handle complex data structures and parsing requirements
- Create flat, denormalized tables optimized for embedded analytics consumption
- Implement custom field handling for tenant-specific metadata requirements
Requirements
- 5+ years of data engineering experience with production-scale systems
- Expert-level SQL skills with analytical databases (columnar databases preferred)
- Strong Python programming with data libraries: pandas, numpy, pyarrow
- Experience with ETL orchestration tools: Apache Airflow, Prefect, dbt, or similar
- Deep understanding of analytical databases, partitioning strategies, and OLAP optimization
- Experience building SaaS data platforms with tenant isolation requirements
- Knowledge of Row-Level Security (RLS) implementation in analytical databases
- Understanding of RBAC patterns and session-based access control
- Experience with authentication flows in data systems
- Familiarity with compliance requirements (SOC2, GDPR) for multi-tenant data
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Surprise meal stipends
- Whole Health Package
- Work from home stipend
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