Data Offres d'emploi - Canada
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As an Azure and Databricks Data Engineer, you will be responsible for designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences.W...Voir plusDernière mise à jour : il y a 9 jours
At The Home Depot Canada, we want you to feel valued and supported.The pay range you see represents base salary only.In addition, your total rewards may include: semi-annual bonuses tied to busines...Voir plusDernière mise à jour : il y a 8 jours
Why Veem Work on Real Financial Infrastructure At Veem, you’re not building surface-level features — you’re working on systems that power real money movement across countries, currencies, and finan...Voir plusDernière mise à jour : il y a 3 jours
Role name - Big Data Developer/Data Engineer Location - Toronto - 4 days Duration - Contract Exp Level - 8+ years ...Voir plusDernière mise à jour : il y a 7 jours
Le Data Scientist sera responsable de concevoir et déployer des solutions d’IA agentique, d’analyser les données et d’accompagner les clients dans l’adoption de l’IA.Évaluer et concevoir des systèm...Voir plusDernière mise à jour : il y a plus de 30 jours
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 plusDernière mise à jour : il y a plus de 30 jours
Location Address: Hybrid - 44 King Street W 7th Floor, Toronto –as of now, mandate is to come in 4x/week starting in September, this is subject to change for the team - want candidates in the GTA w...Voir plusDernière mise à jour : il y a 29 jours
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 plusDernière mise à jour : il y a plus de 30 jours
Location: Montreal, CA ( 3 days onsite is must).Bachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master...Voir plusDernière mise à jour : il y a 9 jours
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 plusDernière mise à jour : il y a plus de 30 jours
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 plusDernière mise à jour : il y a plus de 30 jours
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 plusDernière mise à jour : il y a 17 jours
Heures de travail: 40 hours per week.Research and development institution.Assess and troubleshoot applications software.Conduct research regarding availability and suitability of data.Confer with c...Voir plusDernière mise à jour : il y a 2 jours
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 plusDernière mise à jour : il y a 1 jour
Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.It’s a big mission and now we want you to join us to make it even big...Voir plusDernière mise à jour : il y a plus de 30 jours
Do you have strong attention to detail and enjoy data entry?.Are you ready to get back to working onsite and enjoy a fast paced environment?.We are currently hiring a Data Administrator for an exci...Voir plusDernière mise à jour : il y a 12 jours
Primary Location: Toronto, Ontario.V-Soft Consulting is currently hiring for a.Minimum of 5 years of experience in data engineering, with a strong focus on data pipelines, architecture, and cloud-b...Voir plusDernière mise à jour : il y a plus de 30 jours
Data Engineer
Spirit Omega Inc.Oshawa, ON, CATemps plein
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DATA ENGINEER
V-Soft ConsultingToronto, OntarioTemps plein
Data Engineer
Spirit Omega Inc.Oshawa, ON, CAIl y a 9 jours
Type de contrat
- Temps plein
- Quick Apply
Description de poste
Number of Vacancies: 2
Duration: 11 Months
Hours of work: 35 hrs/wk
Location: Oshawa, ON (Hybrid – 3 days remote)
Resume Due Date: Tuesday, March 31, 2026 (5:00PM EST)
Job Overview
- As an Azure and Databricks Data Engineer, you will be responsible for designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences.
- Will be working as part of a cross-discipline agile team who help each other solve problems across all business areas.
- Will build reliable, supportable & performant data lake & data warehouse products to meet the organization’s need for data to drive reporting analytics, applications, and innovation.
- Will employ best practice in development, security, and accessibility and design to achieve the highest quality of service for our customers.
- Build and productionize modular and scalable data ELT/ETL pipelines and data infrastructure leveraging the wide range of data sources across the organization.
- Build curated common data models designed by the Data Modelers that offer an integrated, business-centric single source of truth for business intelligence, reporting, and downstream system use, in collaboration with Data Architect.
- Work closely with infrastructure, and cyber teams and Senior Data Developers to ensure data is secure in transit and at rest.
- Clean, prepare and optimize datasets for performance, ensuring lineage and quality controls are applied throughout the data integration cycle.
- Support Business Intelligence Analysts in modelling data for visualization and reporting, using dimensional data modeling and aggregation optimization methods.
- Troubleshoot issues related to ingestion, data transformation and pipeline performance, data accuracy and integrity.
- Collaborate with Business Analysts, data scientists, Senior Data Engineers, Data Analysts and solution Architects and Data Modelers to develop data pipelines to feed our data marketplace.
- Assist in identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with tools in the Microsoft Stack; Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power BI.
- Work within the agile SCRUM work management framework in delivery of products and services, including contributing to feature & user story backlog item development, and utilizing related Kanban/SCRUM toolsets.
- Assist in building data catalog and maintenance of relevant metadata for datasets published for enterprise use.
- Develop optimized, performant data pipelines and models at scale using technologies such as Python, Spark and SQL, consuming data sources in XML, CSV, JSON, REST APIs, or other formats.
- Document as-built pipelines and data products within the product description, and utilize source control to ensure a maintainable code-base.
- Implement orchestration of data pipeline execution designed by Senior Data Engineers to ensure data products meet customer latency expectations, dependencies are managed, and datasets are as up-to-date as possible, with minimal disruption to end-customer use.
- Create tooling in collaboration with senior data engineers and data architects to help with day to day tasks, and reduce toil via automation wherever possible.
- Work with Continuous Integration/Continuous Delivery and DevOps pipelines to assist in automate infrastructure, code delivery and product enhancement isolation and proper release management and versioning.
- Monitor the ongoing operation of in-production solutions, assist in troubleshooting issues, and provide Tier 2 support for datasets produced by the team, on an as-required basis.
- Implement and manage appropriate access to data products via role-based access control based on guidance from senior data engineers.
- Write and perform automated unit and regression testing for data product builds, assist with user acceptance testing and system integration testing as required, and assist in design of relevant test cases based on guidance from Data Architects.
- Participate in peer code review sessions.
Qualifications
- Completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning.
- Must have experience as a Data Engineer designing and building data pipelines.
- Must have experience using Azure Data Factory and Databricks - have experience building new Data Pipelines using Azure Data Factory and Databricks must be identified in your resume.
- Fluent in creating data processing frameworks using Python, PySpark, SparkSOL and SOLExperience with Azure Data Factory, ADLS, Synapse Analytics and Databricks
- Must have experience building data pipelines for Data Lakehouses and Data Warehouses
- Excellent understanding of data structures and data processing frameworks
- Thorough knowledge of data governance and data quality principles
- Must have effective communication skills to translate technical details to non-technical stakeholders
Spirit Omega is committed to a diverse and inclusive workplace. We welcome applications from anyone, including members of Indigenous peoples, Women, visible minorities, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities.
Looking for more opportunities? Check out our website at jobs.spiritomega.com
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