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Data Engineer

@ Blutic

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Montréal, Québec

Temps plein6+ ans d’expérience
Postuler
SIGNAUX

Responsabilités :

  • 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.

Résumé des exigences :

  • 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.

Outils et compétences

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

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-11
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler
ChampValeur
Offres sur Jobsy3
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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