L4 Data Management (GCP)

TELUS • Edmonton, AB

1d • Hybrid

About The Position

Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal teams. We are seeking a highly skilled and experienced Data Management Professional specializing in Google Cloud Platform (GCP) and Big Query(BQ) to join our dynamic team. The ideal candidate will have a strong background in engineering complex data assets and BI/Data solutions, experience in designing and implementing automated CI/CD pipelines and test automation. This role will involve collaborating with cross-functional teams to architect, implement, and manage cloud-based data solutions while ensuring security, compliance, and optimal performance. As a senior team member, you will provide mentorship, support your colleagues, and help build their expertise and capabilities.

Requirements

• Bachelor's degree in Computer Engineering, Science, or related field
• 10 years of experience SQL / PL SQL, Stored procedure, BigQuery, Dataflow(data Pipeline tools) , in building complex datasets and data engineering and data pipeline development
• 5-7 years of experience in cloud architecture and data engineering, with a focus on Google Cloud Platform (GCP)
• 2 to 5 years experience with Pulumi, CI/CD/ Terraform version control and IaC) infrastructure as code
• 2 to 5 years dashboard and visualization tools such as tableau, Looker, Looker studio
• Experience designing and implementing automated CI/CD pipelines using native GCP services and tools like Jenkins, GitLab CI/CD, or similar
• Proven track record of delivering complex BI/Data solutions in a cloud environment
• Hands on experience with DevOps / SRE / automation
• Experience with code repositories and version control systems (e.g., Git, Bitbucket)
• Excellent communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Nice To Haves

• Cloud certification (GCP, Professional Cloud Architect, Professional Data Engineer, AWS (Certified Solutions Architect, Certified Developer))
• Data certifications (data engineer, oracle or others)
• Experience working with data visualization tools (e.g., Looker, Looker Studio, Tableau)
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Experience with Azure and AWS
• Knowledge of security and compliance standards (e.g., SOX, GDPR) and best practices for cloud environments

Responsibilities

• Design and implement cloud-based data solutions on Google Cloud Platform (GCP), Big Query, Snowflake and Postgres SQL to support business intelligence (BI) and data analytics requirements
• Define/ Establish best practices for automated regression testing approaches to ensure the reliability and accuracy of data solutions
• Establish robust Change Management and release management strategies to ensure smooth deployments and minimize downtime
• Establish the Software Development Lifecycle (SDLC) process and best practices for cloud-based projects, including requirements gathering, design, development, testing, deployment, maintenance and documentation
• Develop and maintain automated CI/CD pipelines for deploying data pipelines, analytics models, and applications
• Design and implement ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources into usable formats for analysis and reporting
• Implement compliance best practices to protect data assets and ensure regulatory compliance (e.g., SOX)
• Design, develop and optimize data models and explores within the Looker platform

What This Job Offers

• Job Type: Full-time
• Career Level: Senior