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As the Manager/Lead Data Engineer at Badal by TELUS, you will guide a team in developing and managing cloud data solutions, mentor junior engineers, and collaborate with clients on data architecture projects. You will lead complex data engineering initiatives on GCP and ensure high-quality data pipeline development for various industries.

As a Senior Data Engineer, you will work with GCP technology to solve complex data problems, design and implement high-quality data pipelines, and support clients in troubleshooting production issues, all while collaborating closely with technical leads and data scientists.

The Lead Release Manager will oversee the deployment activities for client projects using GCP technology, manage production pipelines, resolve deployment issues, and improve the software release process. They will work closely with technical teams and clients, ensuring efficient CI/CD practices and infrastructure code management.

The Lead DBT/Analytics Engineer will develop cloud architecture solutions, data models, and processes for data storage and retrieval. They will work collaboratively with a team to manage information systems, migrate data to cloud solutions, and ensure system performance while coordinating with stakeholders for future requirements.

Manage data migration projects by developing detailed project plans, engaging stakeholders, analyzing source data, collaborating with data engineers, conducting testing, identifying risks, coordinating resources, and providing post-migration support.

As a DevOps Engineer at Badal by TELUS, you will work closely with technical leads and clients to implement GCP technologies, introduce cloud best practices, set up networking and security processes using Terraform, and build and monitor micro-services on Kubernetes. You will enhance operational efficiency and support troubleshooting efforts in both test and production environments.

As a Data Architect at Badal by TELUS, you will develop cloud architecture solutions and data models, migrate data to cloud platforms, optimize data systems, and coordinate with stakeholders to enhance data processes. The role emphasizes collaboration within a team of engineers to deliver scalable and secure data environments.