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Cloud Computing Specialist
3 weeks ago
Job Title: Cloud Computing Expert
We are seeking a highly skilled individual to manage, optimize, and secure our cloud data environment.
Key Responsibilities:- Cloud Management: Manage cloud accounts, users, roles, and permissions following best practices.
- Performance Optimization: Monitor query performance, optimize resources, and tune workloads to ensure efficient execution.
- Data Governance: Oversee databases, schemas, tables, and data pipelines in the cloud.
- Security & Compliance: Implement security best practices including encryption, data masking, network policies, and audit logging.
- Automation: Develop scripts for monitoring, alerting, and automating administrative tasks (SQL, Python, etc.).
- Monitoring & Troubleshooting: Track resource utilization, storage, and query performance; identify and resolve performance bottlenecks.
- Cost Optimization: Manage costs by monitoring consumption and implementing optimization strategies.
- Upgrades & Maintenance: Apply patches, monitor updates, and ensure minimal downtime.
- Integration: Support integrations with ETL/ELT tools, BI platforms, and cloud services (AWS, Azure, GCP).
- Bachelor's degree in Computer Science or related field.
- 2+ years of experience as a cloud administrator.
- Strong knowledge of cloud features: Virtual Machines, Clustering, Data Sharing, Resource Monitors, Tasks.
- Proficiency in SQL and scripting (Python, Shell).
- Experience with cloud platforms (AWS, Azure, GCP) and integrations.
- Familiarity with ETL/ELT tools (Airbyte, dbt, Fivetran, etc.).
- Knowledge of data security & governance practices (RBAC, PII handling, compliance frameworks).
- Strong troubleshooting and performance tuning skills.
- Excellent communication, documentation, and collaboration abilities.
- SnowPro Core or SnowPro Advanced certification.
- Experience with Terraform, Ansible, or other Infrastructure-as-Code tools.
- Familiarity with Datadog, Splunk, or other monitoring tools.
- Hands-on experience in DevOps / CI-CD pipelines for data workflows.
- Exposure to machine learning or advanced analytics workloads on Snowflake.
- Strong problem-solving and analytical thinking.
- Ability to manage multiple tasks in a fast-paced environment.
- Excellent collaboration skills to work across teams.
- Proactive mindset for optimization and innovation.