Synapse Engineer
- Toronto, ON, Canada
Contract
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- English
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Original job description
Job Title: Synapse Engineer
Location: Toronto hybrid (4 days a week)
Duration: 12-Month Contract
Job Description / Role Summary
The Synapse Engineer builds, optimises, 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 modeller 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 experience 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.
- Optimise 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 optimisation.
- Experience migrating Alteryx, SSIS, Databricks, or equivalent ETL systems.
- Knowledge of Delta Lake, Parquet, partitioning, and schema evolution.
- CI/CD experience in Azure DevOps, Git, and 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 to migrate Alteryx workflows into production-quality workloads. Collaborate with data modeling and conversion teams, monitor performance and costs, troubleshoot data workflows, and provide platform guidance.
Requirements
Requires 5+ years of data engineering experience, including 3+ years with Azure Synapse, strong T-SQL and ETL/ELT development, and workload optimization experience. Candidates should have experience migrating ETL systems and knowledge of Delta Lake, Parquet, partitioning, schema evolution, and CI/CD with Azure DevOps and Git.
Skills
- Azure Synapse
- T-SQL
- ETL/ELT Pipelines
- PySpark
- Synapse SQL
- Azure Data Factory
- Azure DevOps
- CI/CD
- Dedicated SQL Pool Optimization
- Data Security
- Row-Level Security
- ADLS Gen2
- Delta Lake
- Parquet
- Data Migration
- Data Modeling
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Azure Synapse
- Alteryx
- Synapse Pipelines
- Synapse SQL
- T-SQL
- PySpark
- Data Flows
- Azure DevOps
- GitHub
- CI/CD
- Dedicated SQL Pools
- Partitioning
- Indexing
- Caching
- ADLS Gen2
- Delta Lake
- Parquet
- Schema Evolution
- ETL
- ELT
- SSIS
- Databricks
- Row-Level Security
- Data Auditing
- Data Modeling
- ESP Scheduling
- Azure Purview
- Retail Analytics
- Loyalty Analytics