Cloud Data Engineer

As a Cloud Data Engineer at Artmac Soft, you will be responsible for designing and developing data engineering solutions on cloud platforms, particularly focusing on Google Cloud Platform (GCP) and Apache Airflow. Your key responsibilities will include:

• Possessing strong knowledge and experience in data engineering and cloud solutions, with certifications in GCP or related technologies. - Demonstrating proficiency in Apache Airflow, BigQuery, Salesforce, and Oracle ETL, along with developing visualizations using Superset and Looker. - Utilizing SQL, Python, and data pipeline automation skills to design and implement scalable ETL/ELT pipelines on GCP services such as Cloud Composer, Cloud Storage, and Cloud Run. - Building efficient data models and schemas in BigQuery, as well as integrating data from sources like Salesforce and Oracle. - Creating dashboards and visualizations in Superset and Looker to ensure data quality, governance, and security best practices. - Implementing CI/CD pipelines for data deployment, monitoring strategies using cloud monitoring tools, and optimizing performance and cost management. - Mentoring and leading a team of data engineers and analysts, while continuously learning and improving through certifications like the GCP Professional Data Engineer. Your qualifications for this role include a Bachelor's degree or an equivalent combination of education and experience. Join us at Artmac Soft to contribute to innovative technology solutions and services for our customers. As a Cloud Data Engineer at Artmac Soft, you will be responsible for designing and developing data engineering solutions on cloud platforms, particularly focusing on Google Cloud Platform (GCP) and Apache Airflow. Your key responsibilities will include: