Vacancy expired!
- 10+ years of overall IT experience in Data Warehousing and Business Intelligence technologies
- 5+ years' experience in Snowflake implementations, preferably on AWS
- 5+ years' experience in AWS Cloud Migration Projects in Data Engineering roles
- Familiar with design and architecture of Snowflake
- Implementing external functions, Provisioning, Encryption Keys, Access Control, Setup roles, Database Cloning
- Experience using AWS services and extensive hands-on experience with SQL
- AWS CLI / Networking, Securing Sensitive PII & SPII data, Linux OS
- Implement best practices on Data Loading, Views, Stage Objects, Visualizations
- Configure storage integration to access AWS S3 and create stage objects
- Experience with ETL, SnowSQL, SnowPipe, SSIS, Stored Procedures, Python
- Experience with version control tools, DevOps, Agile, AWS Alerting/Monitoring tools
- Experience setting up resource monitors, deploying RBAC controls, virtual warehouse sizing, and query performance tuning, and troubleshooting
- Knowledge of security (SAML, SCIM, OAuth, OpenID, Kerberos, Policies, entitlements, etc.)
- Experience with architecting and maintaining high availability production systems
- Experience with developing monitoring architecture and implementing monitoring agents, dashboards, escalations, and alerts
- Knowledge of security controls for the public cloud (encryption of data in motion/rest and key management)
- Demonstrated proficiency in index design, query plan optimization, and analysis required
- Snowflake SnowPro Core certification
- Bachelor's or Master's Degree in Computer Science or related field
- Understanding of data security and data access controls and design aspects
- Good understanding of Snowflake Time travel concepts and zero-copy cloning, network policies, clustering, and tasks
- Experience with data integrations with reporting tools such as MicroStrategy and Cognos
Vacancy expired!