About the Role: We are seeking a skilled and motivated Data Engineer with strong expertise in Google Cloud Platform (GCP) services, including Cloud Composer and Airflow, as well as proficiency in DBT (SQL & Python) and GitLab. This role is ideal for someone who thrives in a fast-paced environment and is passionate about building scalable data pipelines and solutions. Key Responsibilities: • Design, develop, and maintain robust data pipelines using GCP services such as Cloud Composer and Airflow. • Implement data transformation workflows using DBT with SQL and Python. • Collaborate with data analysts, scientists, and other engineers to ensure data quality and accessibility. • Manage version control and CI/CD pipelines using GitLab. • Optimize data workflows for performance, scalability, and reliability. • Monitor and troubleshoot data pipeline issues and ensure timely resolution. Required Skills & Qualifications: • 5–7 years of experience as a Data Engineer or in a similar role. • Strong hands-on experience with GCP services, especially Cloud Composer and Airflow. • Proficiency in DBT, SQL, and Python for data transformation and scripting. • Experience with GitLab for version control and CI/CD. • Solid understanding of data architecture, ETL/ELT processes, and data warehousing concepts. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration abilities. Preferred Qualifications: • GCP certification(s) in data engineering or related areas. • Experience working in agile development environments. • Familiarity with other cloud platforms or data tools is a plus.