
Senior Database Architect
4 days ago
Job Title: Senior Database Administrator(Big Data)
- Analyze existing database systems and recommend improvements to ensure optimal performance and security.
- Manage and maintain Cloudera Data Platform (CDP) clusters, ensuring high availability and performance.
- Administer and monitor Apache Kafka clusters, including topic management, performance tuning, and security.
- Perform database administration for Oracle, MySQL, and PostgreSQL systems, including backup, recovery, and performance tuning.
- Develop and maintain automation scripts using Shell scripting and Ansible for deployment, monitoring, and configuration management.
- Collaborate with data engineers and developers to optimize data pipelines and ensure data integrity across platforms.
- Implement and maintain security best practices across all data platforms.
- Troubleshoot and resolve issues across the data stack in a timely manner.
- Fix ongoing issues, act as an individual contributor, and take full ownership of the environment.
- Create and maintain database access systems, including tables, indexes, views, stored procedures, and triggers.
- Administer database replication between servers, across Local Area Network and Wide Area Network.
- Tune and optimize database objects.
- Provide 24x7 on-call support.
- Provides technical input to solution development plans and concept documents.
- Bachelor of Science Degree in Computer Science, Information Technology, Management Information Systems, Business, or another relevant field, AND a minimum of 6 years of relevant experience, OR equivalent combination of education and relevant experience.
- Outstanding academics with the demonstrated ability to apply learned knowledge.
- Fluency in English is required.
- Experience with Relational or NoSQL database technologies.
- Demonstrated ability to implement new technologies effectively.
- Demonstrated strong and effective verbal, written, and interpersonal communication skills in a small team setting.
- Consistently demonstrates quality and effectiveness in work documentation and organization.
- Experience with Big Data Technologies supporting a broad variety of solutions, including HDFS, Kubernetes, Kafka, Elastic, SQL Server.
- Superior academics.
- Previous experience working in a team environment.
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