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Data Engineer
Job summary
A technology solutions company is seeking a Data Engineer IV to develop modern data pipelines and analytics solutions in a hybrid work environment. The ideal candidate will have 8-10 years of experience in data engineering, expertise in Azure technologies, and strong communication skills. This is a hands-on role requiring collaboration with various teams to ensure the delivery of robust data solutions.
Qualifications
- 8-10 years of experience in designing and developing data warehouses.
- Hands-on experience with automation using Azure Data Factory and Databricks.
- Strong expertise in Azure cloud technologies.
Responsibilities
- Develop batch and real-time data pipelines in Microsoft Azure.
- Lead the agile software development process and roadmap planning.
- Collaborate with teams to translate business requirements into technical solutions.
Skills
Education
Tools
Job Title: Data Engineer IV
Location: CAN, Ontario, Toronto, 250 Bloor Street East
Hybrid – onsite 3 days per week
Target start date: 8/18/2025
Duration: 1 year
Possibility of extension & conversion to FTE
Number of Positions: 1
Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week
Reason: Additional Workload
- Hands-on technical skills in developing 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.
- 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 and Databricks and PySpark.
- Strong expertise in Azure Databricks, Azure Data Lake, Azure SQL Databases, Azure Data Factory.
- Experience with CI/CD tools such as GitHub, Jenkins and Azure DevOps to configure and build CI/CD pipelines.
- Knowledge of 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 work place.
Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.