Azure Databricks Developer with ADLS

Toronto, ON
Hybrid
Posted Oct 9, 2026
1 position

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Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Develop and maintain Azure Databricks notebooks, workflows, and data pipelines, while managing data in Azure Data Lake Storage. Transform and optimize large datasets, support database migrations, and collaborate with teams to resolve data issues and maintain data quality.

Job details

Description About the Role and Job: Position: Azure Databricks Developer with ADLS Location : Toronto, ON Mode of Work : Hybrid This job posting is for an existing, active vacancy and we are looking to hire an Azure Databricks Developer with ADLS. Summary: We are looking for an experienced Azure Databricks Developer with expertise in Azure Data Lake Storage (ADLS) to build and support scalable data solutions. The ideal candidate will be responsible for developing data pipelines, transforming large datasets, and supporting database migration initiatives using Azure technologies. Roles & Responsibilities : Read, write, and manage data in Azure Data Lake Storage (ADLS). Build, execute, and maintain Azure Databricks notebooks and workflows. Design, develop, and support data pipelines for data integration and processing. Transform, cleanse, and optimize large datasets for analytics and reporting. Support database migration activities and ensure data quality and integrity. Collaborate with cross-functional teams to troubleshoot and resolve data-related issues. Qualifications & Skills : Strong experience with Azure Databricks. Hands-on experience with Azure Data Lake Storage (ADLS). Experience in database migration projects. Proficient in SQL and data transformation techniques. Basic knowledge of Azure services and cloud concepts. Ability to work with large volumes of structured and unstructured data.

What you’ll do

Requirements

Candidates should have strong Azure Databricks experience, hands-on experience with ADLS, and experience supporting database migration projects. Proficiency in SQL and data transformation, basic knowledge of Azure and cloud concepts, and the ability to work with large structured and unstructured datasets are required.