Blutic is looking for an experienced Data Engineer with 6+ years of experience and strong hands-on expertise in designing and building scalable ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (PySpark), and Snowflake.

This is W2 (Hybrid) opportunity.

Location: Montreal, Canada

Experience: 6+ Years

Required Qualifications:

- 6+ years in data engineering or ETL development
- Robust hands-on experience with Snowflake (Snowpipe, Streams and Tasks, performance tuning).
- Hands-on Azure Databricks and PySpark, including Delta Lake.
- Proficiency in Azure Data Factory, including parameterized and metadata-driven pipelines.
- Strong SQL and PL/SQL or T-SQL, including stored procedures.
- Experience with Informatica PowerCenter or IICS, ideally including migration to cloud platforms.
- Python for data processing, validation, and automation.
- Experience with data validation and reconciliation in financial or regulated environments.
- Familiarity with Git, Azure DevOps CI/CD, and Agile/Scrum delivery.

Key Responsibilities:

- Design and build scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks (PySpark), and Snowflake.




- Develop Medallion architecture (Bronze, Silver, Gold) on Delta Lake, using Delta Live Tables and Unity Catalog for governance.
- Build Snowflake solutions using Snowpipe, Streams, Tasks, Dynamic Tables, and Snowpark (Python).
- Create metadata-driven, parameterized, reusable pipeline frameworks to speed up source onboarding.
- Write and tune complex SQL, PL/SQL, and T-SQL, including stored procedures, functions, and packages.
- Implement CDC and incremental loading (Delta Lake MERGE, watermark logic) across batch and near real-time pipelines.
- Build data quality, reconciliation, auditing, and exception-handling frameworks to support regulatory and financial reporting.
- Optimize performance and cost across Databricks clusters, Snowflake warehouses, and ADF pipelines.
- Automate CI/CD with Azure DevOps, Git, and Terraform; support release management across environments.
- Provide production support, root cause analysis, and monitoring for critical pipelines.
- Work with architects, analysts, finance, risk, and compliance teams, and mentor junior engineers.

📌 Data Engineer (Montreal)
🏢 Blutic
📍 Montreal