Data Engineer

Job Title: Data Engineer Location: Mississauga, ON (3 days onsite per week is a must) Duration: 3-6 months Contract to hire with end client Job Description: Design and implement scalable, reliable, and high-performance data architectures on the Azure Cloud platform. Collaborate with data architects and other stakeholders to define data requirements and architecture standards. Develop end-to-end data pipelines, ensuring efficient and reliable data movement across various stages, from ingestion to consumption. Leverage SSIS for on-premises ETL development and integration with Azure-based solutions. Write complex SQL queries for data extraction, transformation, and reporting purposes. Utilize Azure Data Factory, Azure Databricks, and other relevant services to orchestrate and optimize data workflows. Design and implement data models that support business requirements and enable efficient querying and analysis. Optimize data storage and retrieval processes for performance and cost-effectiveness. Integrate diverse data sources into a unified data platform, ensuring data consistency, accuracy, and reliability. Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions. Write complex SQL queries for data extraction, transformation, and reporting purposes. Ensure compliance with data governance and privacy regulations. Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues. Implement performance tuning strategies to optimize data processing and reduce latency. Collaborate with cross-functional teams, including analysts and business stakeholders. Document data engineering processes, data flows, and system architecture for knowledge sharing and future reference. Qualifications Bachelor’s degree in computer science, Information Technology, or a related field. Proven experience (9 years) as a Data Engineer, with a strong focus on Azure Cloud technologies. In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage. 9 years of experience working with large volumes of structured and unstructured data. Strong proficiency in SQL, with extensive experience writing complex queries and optimizing database performance. Hands-on experience designing, developing, and implementing Enterprise Data Warehousing, ETL, and real-time/batch data exchanges using SSIS, Azure Data Factory, Synapse Spark, and Databricks. Strong knowledge of RDBMS, Data Lake concepts, and data warehousing architecture. Familiarity with data security, compliance, and governance best practices. Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. At People Force Consulting Inc, we are committed to fostering diversity, equity, and inclusion. We welcome applicants from all backgrounds, including Indigenous peoples, women, visible minorities, persons with disabilities, and members of 2SLGBTQIA communities. If you require any accommodations during the recruitment or interview process, please let us know, we will work with you to ensure an accessible and positive experience.

Location: Mississauga, Ontario, CA

Posted Date: 11/5/2025