Top Tech Jobs & Startup Jobs in Toronto

Manage a team of data engineers working on cloud transformation, security, analytics, and data governance projects for top GCP customers. Provide leadership, technical expertise, and architectural guidance. Develop high-quality data pipelines, troubleshoot issues, and collaborate with Data Scientists on pipeline design. Mentor team members and communicate data insights effectively at senior management levels.

Work as a Senior Data Engineer at Badal by TELUS, a GCP consulting company based in Toronto. Responsibilities include working with technical leads and clients to demonstrate GCP technology benefits, designing data pipelines, solving high-scale data problems, and supporting clients in troubleshooting issues. Must have GCP experience, expertise in Dataflow or Spark, programming skills in Python, Java, or Scala, and experience with modern data architecture and GCP services. Nice to have experience with streaming technologies and data governance tools. Looking for passionate team players with strong communication skills and a client-focused mindset.

Lead Release Manager responsible for managing the production pipeline, deployment activities, and software release process improvements in a GCP consulting company. Requires experience in large-scale Public Cloud environments, software automation, CI/CD pipelines, and communication of crucial changes through Change Management practices.

Develop cloud architecture solutions, data solutions, and models, work with a team of cloud data engineers, analyze structural requirements, migrate data to cloud solutions, optimize data systems, and coordinate with stakeholders to identify future needs.

Work as a DevOps Engineer at Badal by TELUS, a GCP consulting company, to help top customers with cloud transformation, security, analytics, ML, and data governance. Responsibilities include implementing GCP best practices, setting up infrastructure using Terraform, building and monitoring micro-services on K8s, and developing tools for operational efficiency.

Develop and manage detailed data migration project plans, engage stakeholders, analyze source data, collaborate with data engineers, conduct testing, mitigate risks, manage resources, and provide post-migration support. Maintain documentation and ensure a smooth transition to the new data environment.

Develop cloud architecture solutions, data solutions, and enterprise data models. Collaborate with cloud data engineers, analyze requirements, migrate data, and optimize data systems. Define security and backup procedures and coordinate with key stakeholders for future needs.