Cloud Data Engineer
hace 1 semana
At Moody's, we are seeking a highly skilled Cloud Data Engineer to join our team. As a key contributor to our data engineering pipelines, you will be responsible for designing and implementing scalable and highly available cloud-native solutions using modern technologies. Your expertise in cloud-based technologies, such as AWS, will enable you to drive innovation and growth in our data solutions.
Key Responsibilities:
- Design and implement cloud-infrastructure architecture options for our data pipelines and stores
- Contribute to the development of cutting-edge enterprise data solutions in a fast-paced environment
- Partner with business and technology teams to design and develop scalable and highly available cloud-native solutions
- Leverage tools such as JIRA and Confluence to track requirements and provide visibility into the development process
Qualifications:
- BS or higher in Computer Science or related technical field
- Experience with cloud-based technologies, such as AWS
- Experience with service-based architectures, such as microservices
- Experience with full API lifecycle management with tools like Apigee, AWS API Gateway, and SwaggerHub
- Good to have experience with data practices and technologies, including data lake, data warehousing, data integration patterns, analytics, and business intelligence
About Us:
Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions. We are committed to innovation and growth, and we are seeking talented individuals to join our team.
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