GCP Data Engineer

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.