Location - Montreal ,QC -HybridRole type - Full Time
Required SkillsStrong experience with Angular (v10 or above).Proficiency in TypeScript, JavaScript (ES6+), HTML5, and CSS3/SCSS.Experience with RxJS, Observables, and reactive programming.Experience integrating REST APIs and microservices.Experience with component-based architecture and reusable UI frameworks.Familiarity with Git version control.Strong understanding of responsive design and cross-browser compatibility.Preferred SkillsExperience with Angular Material / PrimeNG / Bootstrap.Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).Familiarity with Docker / Kubernetes.Experience working in Agile / Scrum environments.Knowledge of performance optimization and lazy loading techniques.
Location - Montreal ,QC -HybridRole type - Full Time
Required SkillsStrong experience with Angular (v10 or above).Proficiency in TypeScript, JavaScript (ES6+), HTML5, and CSS3/SCSS.Experience with RxJS, Observables, and reactive programming.Experience integrating REST APIs and microservices.Experience with component-based architecture and reusable UI frameworks.Familiarity with Git version control.Strong understanding of responsive design and cross-browser compatibility.Preferred SkillsExperience with Angular Material / PrimeNG / Bootstrap.Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).Familiarity with Docker / Kubernetes.Experience working in Agile / Scrum environments.Knowledge of performance optimization and lazy loading techniques.
Location - Montreal ,QC -HybridRole type - Full Time
Required SkillsStrong experience with Angular (v10 or above).Proficiency in TypeScript, JavaScript (ES6+), HTML5, and CSS3/SCSS.Experience with RxJS, Observables, and reactive programming.Experience integrating REST APIs and microservices.Experience with component-based architecture and reusable UI frameworks.Familiarity with Git version control.Strong understanding of responsive design and cross-browser compatibility.Preferred SkillsExperience with Angular Material / PrimeNG / Bootstrap.Experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).Familiarity with Docker / Kubernetes.Experience working in Agile / Scrum environments.Knowledge of performance optimization and lazy loading techniques.
Job SummaryWe are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, ETL development, Python programming, and containerized deployments using OpenShift. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and infrastructure to support enterprise-level analytics and business intelligence initiatives.Must-Have Skills (Mandatory)8+ years of experience in Data EngineeringStrong hands-on experience in ETL development and data pipeline designAdvanced proficiency in Python, PySpark and Azure Data Bricks.Banking Domain Experience is Must.Experience with data modelling, data warehousing, and large-scale data processingStrong SQL skills and experience with relational databasesExperience working in cloud or hybrid environmentsKnowledge of CI/CD pipelines and DevOps practicesStrong understanding of distributed systems and performance optimizationKey ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines and data workflowsBuild robust data architectures to support analytics, reporting, and machine learning use casesDevelop and optimize data processing applications using PythonEnsure data quality, integrity, and governance across systemsCollaborate with data scientists, analysts, and cross-functional teamsImplement monitoring, logging, and performance tuning strategiesTroubleshoot and resolve production data issues
Job SummaryWe are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, ETL development, Python programming, and containerized deployments using OpenShift. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and infrastructure to support enterprise-level analytics and business intelligence initiatives.Must-Have Skills (Mandatory)8+ years of experience in Data EngineeringStrong hands-on experience in ETL development and data pipeline designAdvanced proficiency in Python, PySpark and Azure Data Bricks.Banking Domain Experience is Must.Experience with data modelling, data warehousing, and large-scale data processingStrong SQL skills and experience with relational databasesExperience working in cloud or hybrid environmentsKnowledge of CI/CD pipelines and DevOps practicesStrong understanding of distributed systems and performance optimizationKey ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines and data workflowsBuild robust data architectures to support analytics, reporting, and machine learning use casesDevelop and optimize data processing applications using PythonEnsure data quality, integrity, and governance across systemsCollaborate with data scientists, analysts, and cross-functional teamsImplement monitoring, logging, and performance tuning strategiesTroubleshoot and resolve production data issues
Job SummaryWe are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, ETL development, Python programming, and containerized deployments using OpenShift. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and infrastructure to support enterprise-level analytics and business intelligence initiatives.Must-Have Skills (Mandatory)8+ years of experience in Data EngineeringStrong hands-on experience in ETL development and data pipeline designAdvanced proficiency in Python, PySpark and Azure Data Bricks.Banking Domain Experience is Must.Experience with data modelling, data warehousing, and large-scale data processingStrong SQL skills and experience with relational databasesExperience working in cloud or hybrid environmentsKnowledge of CI/CD pipelines and DevOps practicesStrong understanding of distributed systems and performance optimizationKey ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines and data workflowsBuild robust data architectures to support analytics, reporting, and machine learning use casesDevelop and optimize data processing applications using PythonEnsure data quality, integrity, and governance across systemsCollaborate with data scientists, analysts, and cross-functional teamsImplement monitoring, logging, and performance tuning strategiesTroubleshoot and resolve production data issues
Job SummaryWe are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, ETL development, Python programming, and containerized deployments using OpenShift. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and infrastructure to support enterprise-level analytics and business intelligence initiatives.Must-Have Skills (Mandatory)8+ years of experience in Data EngineeringStrong hands-on experience in ETL development and data pipeline designAdvanced proficiency in Python, PySpark and Azure Data Bricks.Banking Domain Experience is Must.Experience with data modelling, data warehousing, and large-scale data processingStrong SQL skills and experience with relational databasesExperience working in cloud or hybrid environmentsKnowledge of CI/CD pipelines and DevOps practicesStrong understanding of distributed systems and performance optimizationKey ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines and data workflowsBuild robust data architectures to support analytics, reporting, and machine learning use casesDevelop and optimize data processing applications using PythonEnsure data quality, integrity, and governance across systemsCollaborate with data scientists, analysts, and cross-functional teamsImplement monitoring, logging, and performance tuning strategiesTroubleshoot and resolve production data issues
Job SummaryWe are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, ETL development, Python programming, and containerized deployments using OpenShift. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and infrastructure to support enterprise-level analytics and business intelligence initiatives.Must-Have Skills (Mandatory)8+ years of experience in Data EngineeringStrong hands-on experience in ETL development and data pipeline designAdvanced proficiency in Python, PySpark and Azure Data Bricks.Banking Domain Experience is Must.Experience with data modelling, data warehousing, and large-scale data processingStrong SQL skills and experience with relational databasesExperience working in cloud or hybrid environmentsKnowledge of CI/CD pipelines and DevOps practicesStrong understanding of distributed systems and performance optimizationKey ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines and data workflowsBuild robust data architectures to support analytics, reporting, and machine learning use casesDevelop and optimize data processing applications using PythonEnsure data quality, integrity, and governance across systemsCollaborate with data scientists, analysts, and cross-functional teamsImplement monitoring, logging, and performance tuning strategiesTroubleshoot and resolve production data issues
Job SummaryWe are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, ETL development, Python programming, and containerized deployments using OpenShift. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and infrastructure to support enterprise-level analytics and business intelligence initiatives.Must-Have Skills (Mandatory)8+ years of experience in Data EngineeringStrong hands-on experience in ETL development and data pipeline designAdvanced proficiency in Python, PySpark and Azure Data Bricks.Banking Domain Experience is Must.Experience with data modelling, data warehousing, and large-scale data processingStrong SQL skills and experience with relational databasesExperience working in cloud or hybrid environmentsKnowledge of CI/CD pipelines and DevOps practicesStrong understanding of distributed systems and performance optimizationKey ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines and data workflowsBuild robust data architectures to support analytics, reporting, and machine learning use casesDevelop and optimize data processing applications using PythonEnsure data quality, integrity, and governance across systemsCollaborate with data scientists, analysts, and cross-functional teamsImplement monitoring, logging, and performance tuning strategiesTroubleshoot and resolve production data issues
Job SummaryWe are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, ETL development, Python programming, and containerized deployments using OpenShift. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and infrastructure to support enterprise-level analytics and business intelligence initiatives.Must-Have Skills (Mandatory)8+ years of experience in Data EngineeringStrong hands-on experience in ETL development and data pipeline designAdvanced proficiency in Python, PySpark and Azure Data Bricks.Banking Domain Experience is Must.Experience with data modelling, data warehousing, and large-scale data processingStrong SQL skills and experience with relational databasesExperience working in cloud or hybrid environmentsKnowledge of CI/CD pipelines and DevOps practicesStrong understanding of distributed systems and performance optimizationKey ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines and data workflowsBuild robust data architectures to support analytics, reporting, and machine learning use casesDevelop and optimize data processing applications using PythonEnsure data quality, integrity, and governance across systemsCollaborate with data scientists, analysts, and cross-functional teamsImplement monitoring, logging, and performance tuning strategiesTroubleshoot and resolve production data issues
