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. |
Years | Required/Preferred | 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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