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Data Engineer
- Toronto, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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
Manage data in Azure Data Lake Storage and build, maintain, and execute Azure Databricks notebooks and workflows. Develop and support data pipelines, optimize datasets for analytics and reporting, assist with database migrations, and resolve data-related issues with cross-functional teams.
Requirements
Requires strong experience with Azure Databricks, hands-on experience with Azure Data Lake Storage, and experience in database migration projects. Candidates should be proficient in SQL and data transformation, have basic knowledge of Azure and cloud concepts, and be able to work with large structured and unstructured datasets.
Skills
- Azure Databricks
- Azure Data Lake Storage
- Data Pipelines
- Data Integration
- Data Processing
- Data Transformation
- Data Cleansing
- SQL
- Database Migration
- Data Quality
- Data Integrity
- Azure Services
- Cloud Concepts
- Structured Data
- Unstructured Data
- Troubleshooting
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Azure Databricks
- Azure Data Lake Storage
- ADLS
- Databricks Notebooks
- Databricks Workflows
- Data Pipelines
- Data Integration
- Data Processing
- Data Transformation
- Data Cleansing
- Dataset Optimization
- Analytics
- Reporting
- Database Migration
- SQL
- Data Quality
- Data Integrity
- Azure Services
- Cloud Concepts
- Structured Data
- Unstructured Data
- Cross-Functional Collaboration
- Troubleshooting