Data Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
Role: Synapse Engineer / Azure Data Engineer
Toronto hybrid (4 days a week)
Job Description / Role Summary
The Synapse Engineer (Remote) builds, optimizes, and maintains the Azure Synapse environment used to replace Alteryx workflows. The role implements pipelines, SQL transformations, orchestration, and security. They work closely with the onsite Data Modeler and Conversion Analyst to ensure end‑to‑end production-quality execution of migrated workloads.
Key Responsibilities
- Build Synapse pipelines, SQL transformations, datasets, and linked services.
- Transformation exp in Synapse SQL, PySpark, or Data Flows.
- Synapse notebooks/pipelines, SQL, Pyspark, ADO for CI/CD, ESP scheduling
- Tune performance of dedicated SQL pools (partitioning, indexing, caching).
- Implement CI/CD pipelines in Azure DevOps or GitHub.
- Configure and manage data security, RLS, access roles, and auditing.
- Optimize ADLS Gen2 folder structures, file formats, and Delta/Parquet usage.
- Collaborate with the Data Modeller to ensure accurate implementation of models.
- Monitor Synapse environments, performance, costs, and autoscaling.
- Troubleshoot issues across ingestion, transformation, orchestration phases.
- Provide architectural guidance and platform best practices.
Required Experience
- 5+ years in data engineering with 3+ years in Azure Synapse.
- Strong T‑SQL, ETL/ELT pipeline development, and workload optimization.
- Experience migrating Alteryx, SSIS, Databricks, or equivalent ETL systems.
- Knowledge of Delta Lake, Parquet, partitioning, schema evolution.
- CI/CD experience in Azure DevOps, Git, environment promotion.
Preferred Skills
- Experience with retail or loyalty analytics workloads.
- Familiarity with Azure Purview or similar governance solutions.
More about this job
Responsibilities
Build, optimize, and maintain Azure Synapse pipelines, SQL transformations, orchestration, and security while migrating Alteryx workflows. Collaborate with data modeling and conversion teams to deliver production-ready workloads, monitor platform performance and costs, and troubleshoot data processes.
Requirements
Requires at least five years of data engineering experience, including three or more years with Azure Synapse, plus strong T-SQL, ETL/ELT development, and workload optimization skills. Candidates should have experience migrating ETL systems and knowledge of Delta Lake, Parquet, partitioning, schema evolution, CI/CD, and environment promotion.
Skills
- Azure Synapse
- Data Engineering
- T-SQL
- ETL/ELT Pipelines
- PySpark
- SQL Transformations
- Azure Data Factory
- Azure DevOps
- CI/CD
- Dedicated SQL Pool Optimization
- Data Security
- Row-Level Security
- ADLS Gen2
- Delta Lake
- Parquet
- Data Migration
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Azure Synapse
- Azure Data Engineer
- Data Engineering
- Alteryx
- Synapse Pipelines
- Synapse SQL
- PySpark
- Data Flows
- T-SQL
- ETL
- ELT
- Azure DevOps
- GitHub
- CI/CD
- Dedicated SQL Pools
- Partitioning
- Indexing
- Caching
- Data Security
- Row-Level Security
- Auditing
- ADLS Gen2
- Delta Lake
- Parquet
- Schema Evolution
- Azure Purview
- Data Modeling
- Workload Optimization
- Retail Analytics
- Loyalty Analytics