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Sr Data Engineer - Toronto/Waterloo
Syndesus
Toronto$130k–175kHybrid3mo ago
- Employment
- Full-time
- Seniority
- Senior
About the role
Senior Data Engineer Hybrid | Waterloo or Toronto, ON (must be locally based)
- Design and deploy comprehensive data architecture capturing structured and unstructured data from diverse internal and external sources
- Build resilient ETL/ELT pipelines routing data across cloud structures, local databases, and other storage forms
- Implement data quality frameworks — validation, monitoring, and automated recovery strategies
- Collaborate with data scientists to enable advanced analytics, predictive modeling, and ML initiatives
- Develop web-enabled, self-service analytics solutions that democratize data access company-wide
- Apply AI/ML and big-data techniques to automate data cleansing, transformation, and enrichment
- Leverage MCP (Model Context Protocol) to connect enterprise applications and automate data flows
- Ensure secure, scalable, and compliant data ingestion with appropriate PII handling
- Troubleshoot pipeline issues, optimize performance, and participate in on-call rotations
- Mentor junior team members and contribute to data engineering practice growth
- 8+ years of hands-on ETL/ELT pipeline development across varied data sources
- Strong programming skills in Python, Scala, or Java (production-quality code)
- Experience with modern data platforms — Snowflake, Databricks, Apache Spark, Kafka, Airflow
- Cloud platform experience — AWS, Azure, or GCP and their native data services
- Experience with real-time data processing and streaming architectures
- Solid data modeling, warehousing, and dimensional modeling fundamentals
- Knowledge of containerization and orchestration (Docker, Kubernetes)
- Practical knowledge of MCP and AI-assisted development tools
- Familiarity with DataOps and MLOps practices
- Experience managing sensitive/PII data with attention to compliance and governance
- Strong communication skills across technical and non-technical stakeholders
- Background in data science or analytics
- Experience in client-facing or Professional Services roles
Compensation
Perks & benefits
- Paid Time Off
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