Location: Toronto Hybrid
Must-have skills:
Data Engineer/ Architecture (including Data Mesh and Data Product implementation)
Informatica
OLTP and OLAP
DevOps
Good-to-have skills:
Infra Tibco IP connections etc
Experience level:
10 years with a strong background in data-related roles
Certifications:
Certifications are a plus but not mandatory provided the candidate has strong hands-on experience.
Someone who already has exposure to how bank works : frameworks and all will be best (Data engineer Data Architect)
- Data Architecture: Roles and Responsibilities
- Design and implement scalable data architectures to support business needs.
- Define data standards guidelines and best practices for data modeling integration and management.
- Develop and maintain data models (conceptual logical and physical) for enterprise systems.
- Oversee data governance data quality and data security initiatives.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Evaluate and recommend data management tools platforms and technologies.
- Ensure data solutions align with organizational goals and compliance requirements.
- Support data migration integration and transformation projects.
- Monitor and optimize data storage retrieval and processing performance.
- Provide technical leadership and mentorship to data engineering and analytics teams.
Azure Data Engineer: Roles and Responsibilities
- Design build and maintain scalable data solutions on Microsoft Azure.
- Develop and manage data pipelines using Azure Data Factory Databricks and related services.
- Implement data storage solutions such as Azure Data Lake Azure SQL Database and Cosmos DB.
- Ensure data quality security and compliance across all Azure data platforms.
- Perform data integration transformation and migration tasks from various sources to Azure.
- Monitor troubleshoot and optimize data workflows for performance and cost efficiency.
- Collaborate with data architects analysts and business stakeholders to understand data requirements.
- Automate data processing and reporting tasks using Azure tools and scripting languages.
- Document data processes architectures and best practices.
- Stay updated with the latest Azure data services and recommend improvements or new technologies as needed.
Required Skills:
Experience (Years): 8-10
Location: Toronto HybridMust-have skills:Data Engineer/ Architecture (including Data Mesh and Data Product implementation)InformaticaOLTP and OLAPDevOpsGood-to-have skills:Infra Tibco IP connections etcExperience level:10 years with a strong background in data-related rolesCertifications:Certificat...
Location: Toronto Hybrid
Must-have skills:
Data Engineer/ Architecture (including Data Mesh and Data Product implementation)
Informatica
OLTP and OLAP
DevOps
Good-to-have skills:
Infra Tibco IP connections etc
Experience level:
10 years with a strong background in data-related roles
Certifications:
Certifications are a plus but not mandatory provided the candidate has strong hands-on experience.
Someone who already has exposure to how bank works : frameworks and all will be best (Data engineer Data Architect)
- Data Architecture: Roles and Responsibilities
- Design and implement scalable data architectures to support business needs.
- Define data standards guidelines and best practices for data modeling integration and management.
- Develop and maintain data models (conceptual logical and physical) for enterprise systems.
- Oversee data governance data quality and data security initiatives.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Evaluate and recommend data management tools platforms and technologies.
- Ensure data solutions align with organizational goals and compliance requirements.
- Support data migration integration and transformation projects.
- Monitor and optimize data storage retrieval and processing performance.
- Provide technical leadership and mentorship to data engineering and analytics teams.
Azure Data Engineer: Roles and Responsibilities
- Design build and maintain scalable data solutions on Microsoft Azure.
- Develop and manage data pipelines using Azure Data Factory Databricks and related services.
- Implement data storage solutions such as Azure Data Lake Azure SQL Database and Cosmos DB.
- Ensure data quality security and compliance across all Azure data platforms.
- Perform data integration transformation and migration tasks from various sources to Azure.
- Monitor troubleshoot and optimize data workflows for performance and cost efficiency.
- Collaborate with data architects analysts and business stakeholders to understand data requirements.
- Automate data processing and reporting tasks using Azure tools and scripting languages.
- Document data processes architectures and best practices.
- Stay updated with the latest Azure data services and recommend improvements or new technologies as needed.
Required Skills:
Experience (Years): 8-10
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