| Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. | |||
| Actual Years Experience |
Years Experience Needed |
Required/ Preferred |
Skills/Experience |
| 8 | Required | Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines) | |
| 8 | Required | Hands-on experience with Microsoft Azure cloud platform | |
| 8 | Required | Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management | |
| 8 | Required | Proficiency in Python scripting for automation and data engineering tasks | |
| 8 | Required | Experience with containerization and orchestration (AKS preferred) | |
| 8 | Required | Knowledge of data pipelines, ETL processes, and cloud data integration | |
| 8 | Required | Understanding of AI/ML concepts and platform integration | |
| 8 | Required | Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics | |
| 8 | Required | Familiarity with monitoring, logging, and observability tools | |
| 3 | Preferred | Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines) | |
| 3 | Preferred | Experience with Infrastructure as Code | |
| 3 | Preferred | Knowledge of data security, compliance, and governance frameworks | |
| 3 | Preferred | Prior experience in public sector or large enterprise environments | |
| 2 | Preferred | Strong problem-solving and analytical skills | |
| 2 | Preferred | Ability to manage multiple priorities in a fast-paced environment | |
| 2 | Preferred | Attention to detail and commitment to best practices | |
| 2 | Preferred | Snowflake AI / Cortex features exposure | |
| 1 | Preferred | Excellent communication and documentation skills | |
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