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Join to apply for the Redshift and Postgres Database administrator (DBA) role at JSR Tech Consulting
Join to apply for the Redshift and Postgres Database administrator (DBA) role at JSR Tech Consulting
Database Administrator
Hybrid in Newark, NJ(Tues, Wed, Thurs)
payrate - 90 - 125 / hr
What You Will Do:
• Lead the configuration, design, and implementation of large-scale Redshift & Aurora Postgres database clusters on AWS
• Design indexing, query tuning and partitioning strategies to improve database performance and reduce SQL query response times
• Design and implement solutions to migrate data from large on-prem SQL databases to Redshift databases in AWS
• Develop scripting solutions to automate operational database tasks (DDL/DML deployment, security management and database maintenance)
• Implement proactive monitoring and maintenance solutions to improve reliability and scalability of Redshift & Aurora Postgres databases
• Partner with architecture and engineering teams in the design, development, and implementation of new AWS database applications
• Collaborate with engineering and support teams in defining, documenting, and evangelizing database best practices
What You Will Need:
• 7+ years of experience in the architecture, design, and administration of large-scale RDBMS database systems
• 3+ years of hands-on experience in the design, implementation, and management of multi-node Redshift & Aurora Postgres database clusters on AWS
• Strong experience in database schema design, use of sort keys and distribution keys in Redshift and indexing strategies in Aurora Postgres
• Strong knowledge of security related concepts in AWS databases (IAM roles, users, policies, temporary credentials, and security groups)
• Hands-on experience with bash scripting and source code management tools such as GIT
• Experience with Agile methodologies (Kanban/Scrum) including tools such as Jira and Confluence
• Excellent written and verbal communication skills
• Bachelor's degree in computer science or a related field.
What We Would Love to See:
• Experience with financial services datasets across investment, product and distribution functions.
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