We are looking for an experienced GCP Data Engineer with solid hands-on expertise in Google BigQuery, SQL, and data warehousing. Experience with dbt and telecommunications data, including customer calls, chats, and network data, is highly desirable. ?

Key Responsibilities
• Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP).
• Work with BigQuery to process and analyze large datasets.
• Write complex SQL queries and optimize performance.
• Develop and maintain dbt models for data transformation, testing, and documentation.
• Build and maintain reliable data warehousing solutions.
• Use Python scripts for automation and data processing.
• Monitor data quality, troubleshoot pipeline issues, and ensure data security and governance.
• Collaborate with analysts,



data scientists, and business stakeholders. ? Required

Skills:
• 5+ years of experience in Data Engineering or a similar role.
• Strong hands-on experience with GCP and BigQuery.
• Excellent SQL skills, including complex queries and performance tuning.
• Solid understanding of data warehousing and data modeling.
• Basic to intermediate Python scripting skills.
• Familiarity with Git and version control.
• Experience with dbt is a plus.
• Telecommunications domain experience, particularly with CES, customer calls, chats, and network data, is highly desirable.

📌 GCP Data Engineer (Canada)
🏢 Aptino
📍 Canada