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Hewlett Packard Enterprise is hiring for the position of NoSQL Specialist in Bangalore, focused on database administration and NoSQL technologies, with opportunities for professional development and inclusive work culture.
Job Responsibility:
Collaborate with developers and architects to design and implement efficient database schemas
Ensure proper normalization & indexing, for optimal performance and scalability
Evaluate and implement replication architectures as needed for high availability and fault tolerance
Monitor database performance using tools like NoSQL Enterprise Monitor or custom scripts
Identify and optimize poorly performing queries through query analysis, index optimization, and query rewriting
Configure NoSQL server settings, buffer pools, and caches to maximize throughput and minimize response times
Configure role-based access controls (RBAC) and auditing features to ensure data integrity and confidentiality
Coordinate with UIDAI-appointed GRCP and security audit agencies to conduct regular security audits and share artifacts to address any identified risks promptly
Ensure integration of databases to suitable backup mechanisms and recovery procedures to safeguard against data loss and ensure business continuity
Coordinate with relevant teams to conduct regular DR drills
Set up monitoring systems to track database health and performance metrics
Configure automated alerts to notify administrators of critical issues, such as performance degradation, replication lags, or storage constraints
Proactively investigate and resolve alerts to maintain system stability and availability
Monitor database growth trends and resource utilization to forecast future capacity requirements
Evaluate and recommend hardware upgrades or version upgrades to support long-term scalability goals
Perform routine maintenance tasks, including database backups, index rebuilds, and statistics updates, during scheduled maintenance windows
Support execution of NoSQL version upgrades and patch deployments, ensuring compatibility and minimal downtime
Coordinate with application teams to test and validate database changes in development and staging environments before production rollout
Maintain comprehensive documentation of database configurations and other Standard Operating Procedures
Provide training and knowledge transfer to team members on database administration best practices, tools, and technologies
Foster a culture of continuous learning and improvement through regular team meetings and knowledge sharing sessions
Respond to database-related incidents and outages promptly, following established incident management procedures
Jointly work with relevant teams to carry out root cause analysis to identify underlying issues and support the implementation of corrective actions to prevent recurrence
Collaborate with cross-functional teams, including developers, network engineers, and system administrators, to troubleshoot complex issues and drive resolution
Receive and prioritize service tickets related to Data Manipulation Language (DML) operations, including INSERT, UPDATE, DELETE, and SELECT queries
Analyze and troubleshoot reported issues, such as data inconsistency, performance degradation, or query optimization
Work closely with application developers and end-users to understand the context and requirements of DML operations
Provide guidance and recommendations to developers & architects on optimizing DML queries for improved performance and efficiency
Implement database schema changes, data migrations, and data transformations as requested through service tickets, ensuring proper testing and validation procedures are followed by the development team
Communicate updates and resolutions to stakeholders in a timely and transparent manner, ensuring customer satisfaction and alignment with service level agreements
Collaborate with other teams, such as application support, quality assurance, and release management, to address cross-functional dependencies and ensure smooth execution of DML-related tasks
Assist developers/ application architects in planning and executing Data Definition Language (DDL) operations, such as creating, altering, and dropping database objects (tables, indexes, views, etc.)
Review proposed schema changes and provide recommendations on best practices for database design and optimization in consultation with application architects and developers
Perform impact analysis to assess the potential implications of DDL changes on existing data, applications, and performance
Execute DDL changes during scheduled maintenance windows, following change management procedures and ensuring minimal disruption to production systems
Collaborate with application architects and developers to define data retention policies and archival strategies for each schema/table based on UIDAI data retention policies and business needs
Develop and implement data archival processes to move inactive or historical data to secondary storage or archival databases, freeing up space and improving database performance
Monitor data growth trends and implement proactive measures, such as purging, to manage database size and mitigate performance degradation, in consultation with application architects and developers
Document data archival and cleanup procedures, including retention periods, criteria for data selection, and execution schedules, ensuring compliance with data governance policies
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