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Posted 2 days ago

Data Engineer

@ Blutic

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Montréal, Quebec

Full-time6+ years experience
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SIGNALS

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.

Requirements summary:

  • 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…
  • Experience : 6+ Years
  • Required Qualifications:
  • Strong hands-on experience with Snowflake (Snowpipe, Streams and Tasks, performance tuning).
  • Experience with Informatica PowerCenter or IICS, ideally including migration to cloud platforms.
  • Experience with data validation and reconciliation in financial or regulated environments.

Tools & skills

Data engineeringMicrosoft Azure Data FactoryMicrosoft AzureDatabricksPySparkSnowflakeSQLOracle PL/SQLInformatica PowerCenterPythonProcess dataGitDevOpsCI/CD
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-11
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

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Job description

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
  • Strong 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.

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