L3 Data Management (GCP)

Description

Our team and what we’ll accomplish together

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 motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a solid background in data engineering, BI solutions, and cloud-based data pipelines, with some exposure to CI/CD practices. In this role, you will collaborate with cross-functional teams to help implement and manage cloud-based data solutions while ensuring quality, compliance, and performance. You will also have the opportunity to grow your skills under the mentorship of senior team members.

What you’ll do

• Contribute to the design and implementation of cloud-based data solutions on Google Cloud Platform (GCP) and BigQuery to support business intelligence (BI) and data analytics requirements


• Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources


• Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics models, and applications


• Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions


• Assist in implementing change management and release management strategies to support smooth deployments


• Follow the established Software Development Lifecycle (SDLC) process for cloud-based projects, including requirements gathering, development, testing, and documentation


• Help enforce data compliance practices to protect data assets and support regulatory compliance (e.g., SOX)


• Develop and optimize data models and explores within the Looker platform under guidance from senior team members

Qualifications

• 4–6 years of experience with SQL / PL SQL, Stored Procedures, BigQuery, and data pipeline development


• 2–3 years of experience in cloud-based data engineering with a focus on Google Cloud Platform (GCP)


• Experience with version control tools (e.g., Git, Bitbucket) and CI/CD concepts


• Familiarity with dashboard and visualization tools such as Tableau, Looker, or Looker Studio


• Experience with data pipeline tools (e.g., Dataflow) and building datasets for analytics


• Understanding of DevOps and automation principles


• Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Great-to-haves

• Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)


• Exposure to IaC tools such as Terraform or Pulumi


• Familiarity with containerization technologies (e.g., Docker, Kubernetes)


• Experience with Snowflake or Postgres SQL


• Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments


• Experience with Azure or AWS


• Bachelor’s degree in Computer Engineering, Computer Science, or a related field

Join our team and be part of a dynamic environment where your expertise will make a significant impact on our success.

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