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Azure Databricks Developer with ADLS
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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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.
More about this job
Responsibilities
Build and maintain Azure Databricks notebooks, workflows, and data pipelines, and manage 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
Requires strong Azure Databricks experience, hands-on experience with ADLS, and experience in database migration projects. Candidates should be proficient in SQL and data transformation, have basic knowledge of Azure services and cloud concepts, and be able to work with large structured and unstructured datasets.
Skills
- Azure Databricks
- Azure Data Lake Storage (ADLS)
- Data Pipelines
- SQL
- Data Transformation
- Database Migration
- Data Integration
- Data Processing
- Data Quality
- Data Integrity
- Azure Services
- Cloud Concepts
- Structured Data
- Unstructured Data
- Data Cleansing
- Data Optimization
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Consulting
Keywords
- Azure Databricks
- Azure Data Lake Storage
- ADLS
- Azure
- SQL
- Data Pipelines
- Databricks Notebooks
- Databricks Workflows
- Data Integration
- Data Processing
- Data Transformation
- Data Cleansing
- Data Optimization
- Database Migration
- Data Quality
- Data Integrity
- Analytics
- Reporting
- Structured Data
- Unstructured Data
- Cloud Concepts
- IT Services
- Data Solutions