Cassandra Database Admin

Warsaw  ‐ Onsite
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Databases Cassandra Automation Data Modeling Scalability Query Performance Controles de Acceso Capacity Planning Configuration Management Cryptography Data Integration Data Integrity Extract Transform Load (ETL) Data Migration Data Quality Performance Management Maintenance Performance Tuning Query Optimization Regulatory Requirements Stakeholder Management Workflows Scripting Testing Apache Cassandra Resource Utilization Database Replication


Job Description:
As a Cassandra Database Administrator, you will be responsible for the design, implementation, and maintenance of our Cassandra database clusters, ensuring their scalability, reliability, and performance to meet the demands of our growing business. You will collaborate closely with software engineers, data architects, and other stakeholders to design efficient data models, optimize query performance, and ensure data consistency and availability.

Your primary responsibilities will include:

  • Installing, configuring, and managing Apache Cassandra clusters, including nodes, partitions, replication, and consistency levels, across multiple environments (eg, development, testing, production).
  • Monitoring database health, performance metrics, and resource utilization, and proactively identifying and resolving issues to minimize downtime and ensure optimal performance.
  • Implementing and maintaining data replication, backup, and recovery strategies to safeguard data integrity and availability in the event of failures or disasters.
  • Managing schema design, data modelling, and query optimization to maximize performance, scalability, and efficiency of Cassandra databases.
  • Implementing security measures, access controls, and encryption mechanisms to protect sensitive data and comply with regulatory requirements.
  • Collaborating with cross-functional teams to design and implement data migration, ETL processes, and data integration workflows between Cassandra and other data sources.
  • Performing capacity planning, scaling, and performance tuning to accommodate growing data volumes, user loads, and application requirements.
  • Automating routine tasks, such as cluster provisioning, configuration management, monitoring, and alerting, using Scripting languages and automation tools.
Start date
Brabers Consultancy
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