Senior Data Software Engineer
hace 2 meses
Moodys is a global leader in integrated risk assessment, empowering organizations to make informed decisions. We're seeking a talented Cloud Data Enrichment Services Engineer to join our team and contribute to the design and implementation of event-based data engineering pipelines.
Key Responsibilities- Design and develop scalable and highly available cloud-native solutions
- Contribute to the development of cutting-edge enterprise data solutions
- Develop systems to automate cloud operations and application support tasks
- Provide world-class support across cloud engineering, operations, and applications
- Leverage tools such as JIRA and Confluence to track requirements and provide visibility into the development process
- BS or Higher in Computer Science or related technical field
- Experience with data practices and technologies, including data lake, data warehousing, data integration patterns, analytics, and business intelligence
- Open source frameworks and developing native Cloud solutions
- Experience with SQL, Python, and/or Java for serverless architecture in AWS
- Experience with GraphDB, NoSQL, and Document Databases
- Experience with service-based architectures, such as microservices
- Experience with full API lifecycle management with tools like Apigee, Kong, AWS API Gateway, and SwaggerHub
- Working knowledge of integration patterns and CI/CD pipelines
- Experience working with Agile methodologies and multi-functional teams
- Innovative approach to solving complex issues and problems
- 3+ years of core experience in enterprise-grade big data cloud programs
- Industry Certification in AWS is a plus
Moodys is a developmental culture where we value candidates who are willing to grow. We're taking action to empower underrepresented groups with equitable opportunities in their careers. We're educating, empowering, and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential, and thrive on every level.
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