Azure Data Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- 6+ years of experience in Data Engineering.
- Posting language
- English
- Posted
Original job description
6+ years of experience in Data Engineering.
Hands-on experience with Microsoft Azure data services.
Strong experience with:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS Gen2)
- Azure SQL Database
- Microsoft Fabric (preferred)
Strong SQL development and query optimization skills.
Experience with Python, PySpark, and Spark frameworks.
Knowledge of data warehousing and dimensional modeling concepts.
Experience working with large-scale datasets and distributed computing.
Familiarity with Azure DevOps and CI/CD pipelines.
Understanding of data security, governance, and compliance requirements.
More about this job
Responsibilities
Build and work with data engineering solutions using Microsoft Azure services, including data integration, processing, storage, and analytics platforms. Develop and optimize SQL and distributed data workloads while supporting data security, governance, compliance, and CI/CD practices.
Requirements
Requires 6+ years of data engineering experience and hands-on experience with Microsoft Azure data services. Candidates should have strong SQL, Python, PySpark, and Spark skills, knowledge of data warehousing and dimensional modeling, and familiarity with Azure DevOps, CI/CD, and data security and governance.
Skills
- Data Engineering
- Microsoft Azure
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Lake Storage Gen2
- Azure SQL Database
- Microsoft Fabric
- SQL
- Query Optimization
- Python
- PySpark
- Apache Spark
- Data Warehousing
- Dimensional Modeling
- Azure DevOps
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
Keywords
- Data Engineering
- Microsoft Azure
- Azure Data Factory
- Azure Databricks
- Azure Synapse Analytics
- Azure Data Lake Storage Gen2
- Azure SQL Database
- Microsoft Fabric
- SQL
- Query Optimization
- Python
- PySpark
- Apache Spark
- Data Warehousing
- Dimensional Modeling
- Large-Scale Datasets
- Distributed Computing
- Azure DevOps
- CI/CD Pipelines
- Data Security
- Data Governance
- Compliance
- Information Services