Azure Data Engineer

2 weeks ago

Toronto Ontario, Ontario, Canada VLink Inc Full time

Role: Azure Data Engineer

Location: Toronto, ON (Hybrid - 3 days onsite)

Job type: Long-term Contract/ Full-time opportunity

Experience: 5+ years

Job Description: We are looking for a highly skilled professional to design, build, and maintain scalable data solutions while ensuring data quality and driving data innovation.

Requirements

• Over 3 years of experience working with Azure Cloud Resources (ADLS, ADF, Dataflow).

• At least 2 years of hands-on experience with DBT(Must).

• Proficiency in advanced SQL, data integration, and data modeling principles.

• Experience with Python programming and Git for version control.

• Familiarity with DevOps practices for automation and deployment.

• Strong technical and problem-solving skills.


Responsibilities

Data Development & Integration: Design and build data solutions using Azure Cloud Resources (ADLS, ADF, Dataflow) in accordance with organizational standards to ensure resilience and scalability.

• Data Modeling & Metadata Management: Create, update, and maintain data models based on business needs and manage metadata repositories to ensure accurate and up-to-date information.

• ETL Processes & Data Preparation: Extract, transform, and load data from various sources, ensuring data quality, integrity, and convergence of datasets using DBT.

• Programming & Scripting: Develop scripts and programs using Python and employ Git for version control and code management.

• DevOps & Automation: Implement DevOps practices to automate workflows and ensure continuous integration and deployment.

• Problem Resolution & Advanced SQL: Use advanced SQL skills to resolve issues within databases, data products, and processes.


Qualifications

• Data Development & Integration: Design and build data solutions using Azure Cloud Resources (ADLS, ADF, Dataflow) in accordance with organizational standards to ensure resilience and scalability.

• Data Modeling & Metadata Management: Create, update, and maintain data models based on business needs and manage metadata repositories to ensure accurate and up-to-date information.

• ETL Processes & Data Preparation: Extract, transform, and load data from various sources, ensuring data quality, integrity, and convergence of datasets using DBT.

• Programming & Scripting: Develop scripts and programs using Python and employ Git for version control and code management.

• DevOps & Automation: Implement DevOps practices to automate workflows and ensure continuous integration and deployment.

• Problem Resolution & Advanced SQL: Use advanced SQL skills to resolve issues within databases, data products, and processes.

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