
Cloud Data Integration Architect
5 days ago
Total Experience: 5 to 8 Years
- Our ideal candidate should have a strong background in data governance and application integration.
- The successful candidate will be responsible for understanding data lineage, veracity, and adopter APIs. This includes reviewing object models, metadata, and creating integration patterns for data sourcing and governance.
The ideal candidate will engage with various teams to understand data uses and associated integration requirements.
Key Responsibilities:- Hands-on experience with application integration and issue root cause analysis and remediation processes.
- Engage with various teams to understand data uses and associated integration requirements.
- Provide subject matter expertise on integration needs for project deliveries, scope, acceptance, installation, and deployment.
- Proficiency in application integration and integration patterns.
- Excellent verbal and written communications.
- High attention to detail.
- Ability to troubleshoot problem areas and identify gaps and issues.
- Adaptability to fast-changing environments.
- Familiarity with database modeling and schema design.
- Experience understanding API integration processes.
- Strong organizational skills and ability to effectively prioritize multiple tasks.
- Presentation skills in demonstrating system design and integration analysis solutions.
- Familiarity with agile project delivery process.
- Familiarity with CI/CD API integration and data pipeline automation.
- Bachelor's degree or equivalent.
- Years of professional full-stack development experience.
- Hands-on expertise with SQL for use in data access, discovery, and analysis.
- Hands-on experience with ETL tools such as Airflow.
- Hands-on experience with scripting languages such as Python, ReactJS, and NodeJS.
- Hands-on experience with CI/CD tools such as Git, Jenkins, and code build.
- Hands-on experience creating API mapping documents and specifications.
- Hands-on experience with various cloud-based database technologies (Vertica, Redshift, Postgres, etc.).
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