Data Analyst IV
Apply NowCompany: Compunnel Software Group
Location: Toronto, ON M4E 3Y1
Description:
Job Summary:
This role involves designing, developing, and modernizing data engineering solutions within Microsoft Azure's data and analytics PaaS services. The individual will lead software development processes, build technical solutions, collaborate with cross-functional teams, and mentor team members to enhance platform scalability and efficiency.
Typical Day in the Role/Responsibilities:
" Utilize hands-on technical skills to develop batch and real-time data pipelines, DevOps pipelines, and end-to-end processes in Microsoft Azure data and analytics PaaS services.
" Lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design review and sign-off.
" Translate business requirements into technical solutions, collaborating with development teams, architects, and business analysts to ensure adherence to enterprise standards, architecture, and technologies.
" Deliver modernization of enterprise data solutions using Azure cloud data technologies, designing and building modern data pipelines, data streams, and data service APIs.
" Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and advanced analytics.
" Expose data to end-users using Power BI, Azure API apps, or other modern visualization platforms.
" Mentor other staff members and facilitate knowledge transfer within the team and across departments.
" Identify opportunities for architectural initiatives and make recommendations to enhance scalability and robustness of platforms and solutions.
Candidate Requirements/Must-Have Skills:
" 8-10 years of experience in designing and developing data warehouses and ETL tools, with a focus on Azure Data Engineering.
" Hands-on experience with ETL processes and automation using Azure Data Factory, Databricks, and PySpark.
" Strong expertise in Azure Databricks, Azure Data Lake, Azure SQL Databases, and Azure Data Factory.
" Experience with CI/CD tools such as GitHub, Jenkins, and Azure DevOps to configure and build CI/CD pipelines.
" Proficiency in BI tools such as Power BI.
" Strong interpersonal, written, and oral communication skills.
" Proven ability to effectively prioritize and execute tasks in a team-oriented, collaborative workplace.
Education:
" Bachelor's degree in a technical field such as computer science, computer engineering, or a related field required.
Education: Bachelors Degree
This role involves designing, developing, and modernizing data engineering solutions within Microsoft Azure's data and analytics PaaS services. The individual will lead software development processes, build technical solutions, collaborate with cross-functional teams, and mentor team members to enhance platform scalability and efficiency.
Typical Day in the Role/Responsibilities:
" Utilize hands-on technical skills to develop batch and real-time data pipelines, DevOps pipelines, and end-to-end processes in Microsoft Azure data and analytics PaaS services.
" Lead the agile software development process, including roadmap planning, cross-team coordination, task assignments, code reviews, sprint demos, and design review and sign-off.
" Translate business requirements into technical solutions, collaborating with development teams, architects, and business analysts to ensure adherence to enterprise standards, architecture, and technologies.
" Deliver modernization of enterprise data solutions using Azure cloud data technologies, designing and building modern data pipelines, data streams, and data service APIs.
" Develop and maintain data warehouse schematics, layouts, architectures, and relational/non-relational databases for data access and advanced analytics.
" Expose data to end-users using Power BI, Azure API apps, or other modern visualization platforms.
" Mentor other staff members and facilitate knowledge transfer within the team and across departments.
" Identify opportunities for architectural initiatives and make recommendations to enhance scalability and robustness of platforms and solutions.
Candidate Requirements/Must-Have Skills:
" 8-10 years of experience in designing and developing data warehouses and ETL tools, with a focus on Azure Data Engineering.
" Hands-on experience with ETL processes and automation using Azure Data Factory, Databricks, and PySpark.
" Strong expertise in Azure Databricks, Azure Data Lake, Azure SQL Databases, and Azure Data Factory.
" Experience with CI/CD tools such as GitHub, Jenkins, and Azure DevOps to configure and build CI/CD pipelines.
" Proficiency in BI tools such as Power BI.
" Strong interpersonal, written, and oral communication skills.
" Proven ability to effectively prioritize and execute tasks in a team-oriented, collaborative workplace.
Education:
" Bachelor's degree in a technical field such as computer science, computer engineering, or a related field required.
Education: Bachelors Degree