Coordinate and assist with deployment, support activities, database upgrades, and application of patches. Develop data migration plans and scripts, work with Oracle support on issues and bug fixes, manage tablespaces, account management, performance tuning, troubleshooting databases and debugging PLSQL. Plan and schedule maintenance including security patching and emergency responses for database management systems and platforms in the production environment.
Administer, monitor, and ensure the continuous operation of the Data Warehouse (DWH) infrastructure, perform regular tuning of SQL queries, indexes, partitioning, and DWH configuration parameters to achieve maximum processing speed. Configure and control user access rights in compliance with internal security policies. Develop, implement, and test backup strategies and Disaster Recovery Plans. Implement and maintain monitoring systems, analyze logs, and provide warnings for potential issues.
We are looking for an experienced Netezza Database Administrator with 5+ years of hands-on expertise in managing and supporting Netezza Data Warehouse environments. The candidate should be proficient in administration, performance tuning, and troubleshooting, with the ability to work closely with business and technical teams to ensure optimal data warehouse performance.
Be crucial in accelerating efforts to build standalone data products that enable data teams and independent developers to create innovative solutions at massive scale. Continuously improve existing datasets as well as pursuing new ones. Use and develop web crawling technologies to capture and catalog data on the internet. Support and improve our web crawling infrastructure.
Your tasks include planning, installation, administration, operation, and monitoring of relational database management systems (RDBMS). You will perform problem and error analysis of DBMS systems, continuous optimization, automation, and performance analysis of DBMS environments. The role involves developing standards and guidelines, and contributing to the further development of the service portfolio. You will also handle setup, configuration, and troubleshooting of relational DBMS.
Join the team as a Data Engineer and help improve the lives of people with diabetes through data-driven innovation. As a senior member of the Data Engineering & Analytics team, you’ll lead big data engineering and cloud-based analysis to support real-time decision-making, define scalable data strategies, and build secure, efficient pipelines. You’ll operationalize machine learning models and uncover insights across key domains.