We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) 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.

Key Responsibilities:
• Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
• 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.
• 4-5 years of experience in data engineering or a similar role.
• Strong expertise in SQL with the ability to write efficient, complex queries.
• Proficiency 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.