Senior Database Engineer
1 month ago
The right candidate will be able to work in a fast-paced environment, providing both production & development support. This position will work closely with various development groups across the firm and should demonstrate his/her ability as a technical expert on the team.
Contract Duration: 12-Months (Contract-to-Hire)
Required Skills & Experience 8+ Years of experience as a Database Administrator Proficiency in Snowflake architecture, features, and best practices. Strong SQL skills and experience with query optimization. Knowledge of database security practices and tools. Experience with on-prem relational systems; Oracle, SQL Server Experience with NoSQL and columnar data stores Strong scripting abilities in bash, python Experience in version control systems, Git and CI/CD Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their integration with Snowflake.
Preferred Skills & Experience Snowflake Core Certification and at least one platform certification or specialty in Public Cloud. Proven experience building AWS Infrastructure. Experience in Data Migration Strategies to public cloud.
What You Will Be Doing
Daily Responsibilities Database Management: Administer and maintain Snowflake databases, ensuring high availability, performance, and security. Performance Tuning: Monitor and optimize database performance, including query tuning and resource management. Data Integration: Facilitate data sharing processes to ensure seamless data flow across the organization. Security: Implement and manage database security policies, including user access controls, encryption, and data masking. Backup and Recovery: Develop and maintain backup and recovery procedures to ensure data integrity and availability. Monitoring and Troubleshooting: Set up and manage monitoring tools to proactively identify and resolve database issues. Cost Optimization: Implement strategies to optimize Snowflake usage and costs, including monitoring resource consumption and identifying cost-saving opportunities. Collaboration: Work closely with data engineers, data scientists, and other stakeholders to support data-related projects and initiatives. Documentation: Maintain comprehensive documentation of database configurations, processes, and procedures.
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