GCP Data Engineer

We are seeking a skilled GCP Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Google Cloud Platform (GCP) and experience with data engineering tools and frameworks, particularly Apache Airflow. As a GCP Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data analytics and business intelligence initiatives. Key Responsibilities: - Develop and implement data pipelines using Apache Airflow to orchestrate workflows and manage data processing tasks. - Collaborate with data scientists and analysts to understand data requirements and ensure data availability and quality. - Optimize data storage and retrieval processes on GCP to enhance performance and reduce costs. - Monitor and troubleshoot data pipeline performance, ensuring reliability and efficiency. - Stay updated with the latest trends and technologies in data engineering and cloud computing to continuously improve our data infrastructure. Required Skills: - Strong experience with Google Cloud Platform (GCP) services, particularly those related to data storage and processing. - Proficiency in Apache Airflow for workflow orchestration. - Familiarity with data modeling, ETL processes, and data warehousing concepts. - Ability to work collaboratively in a team environment and communicate effectively with stakeholders. - Strong problem-solving skills and attention to detail. If you are passionate about data engineering and have the required skills, we encourage you to apply and be part of our innovative team.