Akkodis is seeking a Senior Data Engineer for a contract position with a client in Toronto, ON (Hybrid) and is ideally looking for hands-on experience in ETL & pipeline construction as data flow and integration and designing Data Warehouse experience and Data Modeling solutions ensuring data quality includes leveraging Python for data manipulation. Some exposure with back-ups and restores to backup solutions including some of the following: NetBackup, Tivoli, Veritas, Cohesity, and HP Solutions, The preferred candidate in large Canadian Banking/Financial organizations. Position: Senior Data Engineer Location: Toronto ON (Mostly Remote) Contract Must-Have Skills: You have 10+ years in as a technical engineer/architect resource in a data analytics environment. You have at least 7+ years of expertise in ETL & pipeline construction, ensuring efficient data flow and integration from various sources, and maintaining high data quality standards, timeliness, completeness, and consistency. You have at least 7+ years of experience designing Data Warehouse experience and Data Modeling solutions ensuring data quality. You have 5+ years of experience with solution architecture and enterprise architecture. That includes implementing data models and knowing backup requirements for applications. You have 5+ years of working experience and demonstrated ability to use most of our tools: Python, SQL, and Power BI. Your experience includes leveraging Python for data manipulation, analysis, and automation, and Power BI for building comprehensive data models and visualizations that drive business insights. You have 2+ years of experience working with back-ups and restores to backup solutions including some of the following: NetBackup, Tivoli, Veritas, Cohesity, and HP Solutions. Nice-To-Have Skills: Project management, risk management, or ITIL experience or certifications are assets. Experience in a Google Cloud environment is an asset. Spanish is an asset. Best VS. Average Candidate: The ideal candidate can understand complex data problems to create an architecture that would solve the problem. This would include architecture, onboarding of data pipelines, creating effective ETL visualizations of solutions, and the ability to manage a small team so the objectives can be achieved within a specific timeline. Has experience with IT operations experience especially backups, solutioning experience in Data analysis / Data engineering in a recent position. Also has great communications skills and Python, Power BI & ETL expertise.
Job Title
Senior Data Engineer