Cloud Data Engineer

We are seeking a skilled Cloud Data Engineer to join our dynamic team. The ideal candidate will have a strong background in cloud technologies, particularly Google Cloud Platform, and will be proficient in SQL and Python. As a Cloud 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 implement data pipelines using Google Cloud Platform services to ensure efficient data processing and storage. - Utilize SQL for data manipulation and querying to support various analytical needs. - Write and maintain Python scripts for data transformation and automation tasks. - Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs. - Monitor and optimize data workflows to ensure high performance and reliability. - Implement Airflow for orchestrating complex data workflows and scheduling tasks. - Ensure data quality and integrity throughout the data lifecycle. Required Skills: - Strong experience with Google Cloud Platform services, including BigQuery, Cloud Storage, and Dataflow. - Proficiency in SQL for data querying and manipulation. - Solid programming skills in Python, with experience in data processing libraries. - Familiarity with Apache Airflow for workflow management. - Excellent problem-solving skills and the ability to work independently as well as part of a team. - Strong communication skills to collaborate effectively with cross-functional teams. If you are passionate about data engineering and cloud technologies, and you meet the qualifications outlined above, we encourage you to apply for this exciting opportunity to contribute to our data-driven initiatives.