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Added 9 mins ago
WW
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Added 16 mins ago
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Yochana

Azure Databricks Developer With ADLS

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Position Name – Azure Databricks Developer With ADLS

Type of hiring – Fulltime

Location – Toronto, ON (Hybrid – 3 days a week)

Job Description:

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.

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More about this job

Responsibilities

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.

Requirements

Candidates should have strong Azure Databricks experience, hands-on experience with Azure Data Lake Storage, 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.

Skills

Azure Databricks
Azure Data Lake Storage
SQL
Data Pipelines
Data Integration
Data Transformation
Database Migration
Data Quality
Data Integrity
Azure Services
Cloud Concepts
Structured and Unstructured Data
Data Cleansing
Data Optimization
Databricks Notebooks
Databricks Workflows

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Azure Data Lake Storage
ADLS
SQL
Data Pipelines
Data Integration
Data Processing
Data Transformation
Database Migration
Data Quality
Data Integrity
Databricks Notebooks
Databricks Workflows
Azure Services
Cloud Computing
Structured Data
Unstructured Data
Data Cleansing
Data Optimization
Analytics
Reporting
IT Services
Data Solutions

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