Data • canada
Data Engineer who can develop, test, run, maintain, and migrate data pipelines.Essential skills include Azure Databricks, Azure Data Factory, GitHub Actions CI/CD, building APIs with Python FastAPI...Voir plus
Duties and Responsibilities are:.Collect, analyze, and interpret project, financial, and operational data from construction systems (ERP, project management, equipment, and safety).Develop and main...Voir plus
DarkVision is seeking a Data Scientist to join our Imaging & AI team.You will ensure the statistical validity and business impact of our models by owning experimental design, causal analysis, and d...Voir plus
Hybrid: 2 days on-site (9am-5pm).Data Catalog, Alation, Informatica Enterprise Data Catalog (EDC), IBM InfoSphere Metadata Asset, Microsoft Purview Data Map.First Line of Defence roles to ensure pr...Voir plus
About Kindsight: Kindsight builds technology that helps fundraisers make a difference.For decades, Kindsight has supported the education, healthcare, and nonprofit sectors with fundraising tools an...Voir plus
Data Engineer to join our dynamic team.The ideal candidate will have a strong background in designing, implementing, and optimizing data solutions using PowerBI, Azure, and AI technologies.As a Dat...Voir plus
Develop and maintain computer databases.Document customers' requirements for projects.Enact measures to make sure unauthorized users cannot access the data.Liaise with staff on data requirements, c...Voir plus
Job Title: Data Engineer Missisauga,Canada Fulltime Mandatory Skills: Python, Spark Pyspark ...Voir plus
Come work for a company that’s committed to the success of each and every employee.A place where innovators and collaborators come together and build on each other’s talents.Where diversity is welc...Voir plus
Data Architect Company: Project X Ltd.Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Total Compensation: $150,000-200,000 About Project X Ltd.Guided by our v...Voir plus
Some would say we're in the pension business.We like to say we're in the people business.One that focuses on creating an inclusive and diverse culture for everyone who comes through our doors.One t...Voir plus
At CGI, we shape the future of artificial intelligence through practical and responsible solutions.Our AI Practice in Montréal is rapidly growing and brings together passionate experts who design, ...Voir plus
Provide advice on information systems strategy, policy, management and service delivery.Operate database management systems to analyze data.Develop and implement data administration policy, standar...Voir plus
Le Data Engineer sera responsable de concevoir et de faire évoluer l’infrastructure de données de plusieurs clients de l’entreprise afin de contribuer au succès de leurs projets IA.Concevoir l’arch...Voir plus
IT Unlock (ITU) is a growing IT services firm specializing in IT staff augmentation and AI-enabled services.We are seeking a Senior Account Manager 360 with a strong recruitment background to take ...Voir plus
Our client, a prominent leader in the insurance and financial services sector with a specialized division dedicated to dealer networks, is launching a major initiative to establish a modern cloud p...Voir plus
Assess and troubleshoot applications software.Communicate the business and technical benefits of the analytic solution to both business and technical audiences.Conduct business and technical studie...Voir plus
Vancouver, BC • ID: 858-028 • Full-Time/Regular.LGM is a national leader in providing warranty, finance and insurance services to the Canadian automotive industry.Since 1998, LGM has partnered with...Voir plus
Role : Azure Data Engineer
Location : Toronto, ON
Duration : Contract
Data Engineer who can develop, test, run, maintain, and migrate data pipelines.
Essential skills include Azure Databricks, Azure Data Factory, GitHub Actions CI / CD, building APIs with Python FastAPI, and consuming APIs with requests.
Terraform skills are a plus.
Years – - years of development experience in data engineering skills
Strong experience in Spark.
Understand complex data system by working closely with engineering and product teams.
Develop scalable and maintainable applications to extract, transform, and load data in various formats to SQL Server, Hadoop Data Lake or other data storage locations.
