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Senior Data Engineering Lead in Analytics
The Senior Data Engineering Lead will design and implement scalable data architectures and lead engineering projects using SQL, Spark, and cloud platforms like Azure or AWS. This role focuses on driving enterprise analytics and AI solutions through technical leadership and team collaboration.
Full-Stack Engineer - Desktop Automation
The Full-Stack Engineer will lead desktop automation projects for pharmacy operations, focusing on building scalable, HIPAA-compliant systems using Python, Node.js, AWS, and AI/ML models.
Toronto Senior Full Stack Developer Position
Builds and maintains financial applications for a global fund services firm, using full-stack tech (JS frameworks, responsive design) and cloud platforms (AWS/Azure) to support governance services.
DevOps Engineer for Cloud Infrastructure
Builds and maintains cloud infrastructure using Terraform and AWS to automate deployments and ensure high availability.
Node.js Backend Engineer for Financial Services
Node.js Backend Engineer designing and maintaining RESTful APIs and microservices for enterprise banking platforms using Node.js, TypeScript, and cloud infrastructure.
Junior Backend Developer at EY
The Junior Backend Developer will build and maintain enterprise web applications for tax research using C# and ASP.NET. The role involves collaborating with cross-functional teams to develop optimized software solutions and contribute to new feature development.
Junior Full-Stack Java Developer in Toronto
This role is for a Junior Full-Stack Java Developer at TD in Toronto, responsible for developing full-stack applications and providing on-call application support. The position requires proficiency in Java, Azure, and SQL databases while working within an Agile environment.
Software Developer, Business Intelligence
The Software Developer for Business Intelligence will develop and maintain reporting solutions, ETL processes, and CI/CD pipelines for Maplewave's Insights platform. The role involves working with Linux, SQL, and containerized environments to support telecommunications clients.
Software Developer
This role involves developing backend financial services and money transfer solutions using Java, Spring Boot, and cloud-native architectures. The developer will build scalable APIs and microservices while occasionally contributing to front-end initiatives using Vue.js.
Software Developer
This role involves designing and implementing software components using Python, C, C++, and Java within a containerized microservices architecture. The developer will work on API development, secure data handling, and BDD-based testing in an Agile environment.
Azure Data Architect: Cloud Data Strategy & Insights Leader
Design and implement secure, scalable cloud-native data processing systems on Azure, collaborating with Data Science and Engineering teams to enable advanced analytics and AI models.
Senior Big Data Architect & Analytics Engineer
The Senior Big Data Architect & Analytics Engineer will design and implement complex big data solutions while collaborating with stakeholders. The role requires expertise in Spark, Kafka, SQL, cloud platforms, HDFS, and the Elastic Stack.
Big Data & Analytics Engineer
The Big Data & Analytics Engineer will design and implement scalable big data solutions while collaborating with international teams and clients. The role requires proficiency in Spark, Kafka, SQL, REST APIs, and cloud environments.
GCP Data Architect & Engineer: Scalable Cloud Pipelines
Design, build, and operationalize scalable data processing systems on Google Cloud Platform, turning raw data into actionable insights using Python/Scala/Java, BigQuery, and ELT approaches.
GCP Data Architect & Engineer: Real-Time ELT Pipelines
Design and operate scalable, secure data processing systems on GCP, building large-scale batch and real-time ELT pipelines with BigQuery and Dataflow using Scala, Java, or Python.
Big Data Architect & Engineer for Cloud Analytics
The Big Data Architect & Engineer will design and implement complex data intelligence applications using Big Data technologies. The role requires proficiency in Spark, Kafka, NoSQL, SQL, and object-oriented programming languages like Java, Python, or Scala.
Big Data Architect & Engineer - Cloud, Spark, Kafka
Designs and implements complex big data solutions using Spark, Kafka, and cloud platforms, analyzing requirements, estimating timelines, and advising on technical choices.
Senior GCP Data Architect & Engineer - Real-Time ELT
The Senior GCP Data Architect & Engineer will design, build, and monitor data processing systems using Google Cloud Platform tools. The role focuses on transforming raw data into actionable business insights through scalable, real-time ELT pipelines.