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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.
Data Engineer & Analyst - Remote, BI & Azure
Manage the full data lifecycle and build BI solutions supporting strategic decisions, using SQL, Python, Power BI/Qlik, Azure Data Factory, and Snowflake within an international industrial company.
Senior Big Data Engineer: Spark, Kafka & Cloud
The Senior Big Data Engineer will work on large-scale data intelligence projects using Spark, Kafka, and cloud platforms. The role involves data management, analytics, and visualization within an international team.
Azure Data Engineer: Bridge Data Science & Engineering
Azure Data Engineer bridging Data Science and Engineering in a BI-focused team, building data lake pipelines for analytics and ML using Azure, SQL, Spark/Databricks, and ETL/ELT tools.
Big Data Engineer & Analytics Specialist
The Big Data Engineer will design and implement complex data applications using Spark, Kafka, and cloud technologies. The role involves working within multidisciplinary teams to analyze requirements and estimate project timelines.
Senior Big Data Engineer & Architect
The Senior Big Data Engineer & Architect will design and implement complex data solutions while collaborating with development teams and international clients. The role requires advanced expertise in Spark, Kafka, NoSQL, and SQL.
Azure Data Engineer: Bridge Data Science and Engineering
Azure Data Engineer bridging Data Science and Data Engineering, responsible for data acquisition, transformations, cleansing, and loading into data lakes for analytics and ML workloads in cloud-native Azure environments.