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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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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.
More about this job
Responsibilities
Build 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, ensure data quality and integrity, and resolve data-related issues with cross-functional teams.
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.
Skills
- Azure Databricks
- Azure Data Lake Storage (ADLS)
- Data Pipeline Development
- SQL
- Data Transformation
- Database Migration
- Data Integration
- Data Processing
- Data Quality
- Data Integrity
- Azure Services
- Cloud Computing
- Structured and Unstructured Data
- Data Cleansing
- Data Optimization
- Troubleshooting
Visa sponsorship
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Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- Azure Databricks
- Azure Data Lake Storage
- ADLS
- Azure
- SQL
- Data Pipelines
- Data Integration
- Data Processing
- Data Transformation
- Data Cleansing
- Data Optimization
- Database Migration
- Data Quality
- Data Integrity
- Analytics
- Reporting
- Structured Data
- Unstructured Data
- Cloud Concepts
- Notebooks
- Workflows
- Troubleshooting
- Banking
- Financial Services
- IT Services
- Data Solutions