We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation. Solid understanding of Telco - CES and Network Data. Calls, Chats, Network data.

Key Responsibilities

- Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.

- Nice to have the experience to Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.

- Write complex and optimized SQL queries for data extraction, transformation, and analysis.

- Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.

- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.





- Monitor and troubleshoot data pipeline performance and data quality issues.

- Automate data workflows and tasks using Python scripts where necessary.

- Ensure data governance, security, and compliance standards are met.

Required Qualifications

- Bachelor s degree in Computer Science, Information Systems, or a related field.

- 5 years of experience in data engineering or a similar role.

- Strong expertise in SQL with the ability to write efficient, complex queries.

- Nice to have knowledge in DBT for data modeling and transformation

- Hands-on experience with BigQuery and other GCP data services.

- Solid understanding of data warehousing principles and best practices.

- Basic to intermediate skills in Python for scripting and automation.

- Familiarity with version control systems like Git.

- Excellent problem-solving and communication skills.

📌 GCP Data Engineer (Canada)
🏢 Ju0026M Group
📍 Canada