Data Management Professional

Responsibilities

• Design and implement cloud-based data solutions on Google Cloud Platform (GCP) and BigQuery to support BI and analytics.
• Develop and maintain ETL processes and integration workflows to ingest and transform data from various sources.
• Participate in CI/CD pipeline development and deployment for data pipelines and analytics models.
• Apply automated regression testing and follow SDLC processes for cloud-based projects.
• Assist in implementing change management, release management, and data compliance practices (e.g., SOX).
• Develop and optimize data models and explores within the Looker platform.

Requirements

• 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 GCP.
• Experience with version control tools such as Git or Bitbucket and familiarity with CI/CD concepts.
• Proficiency with data visualization tools like Tableau, Looker, or Looker Studio.
• Experience with data pipeline tools (e.g., Dataflow) and building datasets for analytics.
• Strong communication skills and the ability to collaborate with cross-functional teams.

Preferred Qualifications

• GCP certifications (Associate Cloud Engineer or Professional Data Engineer).
• Exposure to Infrastructure as Code (IaC) tools like Terraform or Pulumi.
• Familiarity with containerization technologies such as Docker or Kubernetes.
• Experience with Snowflake, Postgres SQL, Azure, or AWS.
• Bachelor’s degree in Computer Engineering, Computer Science, or a related field.

Benefits

• Comprehensive total rewards package including competitive salary and bonus structures.
• Minimum of 3 weeks of vacation and a flexible benefits plan.
• Generous company-matched pension and share purchase programs.
• Hybrid work flexibility (in-office, virtual, or a combination).
• Career growth and continuous learning and development opportunities.

About the Company

TELUS is a people-focused, customer-first, purpose-driven team dedicated to innovating through technology. Our Data and AI Insights team works to make TELUS the most insights-driven company globally, providing the essential data engineering and business intelligence that supports over 15,000 employees.