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 data engineering and cloud technologies, particularly Google Cloud Platform (GCP). As a GCP Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support our data analytics and business intelligence initiatives. Key Responsibilities: - Develop and maintain data pipelines using GCP services, ensuring data is processed efficiently and accurately. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. - Implement ETL processes using tools such as dbt and Airflow to automate data workflows. - Work with BigQuery to manage and analyze large datasets, optimizing performance and cost. - Integrate data from various sources, including Kafka, to create a unified data platform. - Ensure data quality and integrity through rigorous testing and validation processes. - Participate in CI/CD practices to streamline deployment and improve development workflows. Required Skills: - Strong experience with Google Cloud Platform (GCP) and its data services. - Proficiency in data engineering tools such as dbt and Airflow. - Experience with BigQuery for data analysis and management. - Familiarity with Kafka for data streaming and integration. - Knowledge of CI/CD practices and tools. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. If you are passionate about data engineering and want to work in a fast-paced environment, we encourage you to apply for this exciting opportunity.