Data Engineer with DBT and Azure Cloud Resources (ADLS, ADF, DataFlow).

Data Engineer with DBT and Azure Cloud Resources (ADLS, ADF, DataFlow). Location: Toronto (Greater Toronto Area) - Hybrid Employment Type: 12 Months Contract 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. Requirements / 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.

Location: Toronto, CA

Posted Date: 11/10/2024