
Highly Skilled Enterprise Data Architect Wanted
5 days ago
This role involves designing, developing and deploying scalable enterprise data analytics solutions.
- Key Responsibilities:
- Design and build robust, scalable and high-quality data pipelines that support analytics and reporting needs.
- Integrate structured and unstructured data from various sources into data lakes and warehouses.
- Technical Requirements:
- Programming languages: Python, SQL, R, C++, Minitab, SAS, Matlab, VBA
- Cloud platforms: Azure, Snowflake, AWS
- Containerization technologies: Docker, Kubernetes
- CI/CD tools: GitHub Actions, GitLab, Jenkins
- Agile methodologies: Scrum, Kanban
- Benefits:
- Work closely with cross-functional teams to translate requirements into technical solutions.
- Participate in Agile ceremonies, sprint planning and DevOps practices for continuous integration and deployment.
Tech Stack:
- Programming languages: Python, SQL, R, C++, Minitab, SAS, Matlab, VBA
- Cloud platforms: Azure, Snowflake, AWS
- Containerization technologies: Docker, Kubernetes
- CI/CD tools: GitHub Actions, GitLab, Jenkins
- Agile methodologies: Scrum, Kanban
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