Storage and SAN Infrastructure Administrator managing physical, virtual, and cloud - based data storage for Kyndryl. Ensuring security, availability, and performance while collaborating with IT teams and vendors.
About the role
- Data Administrator role managing T-SQL scripts and database architecture for client companies. Developing, monitoring, and tuning database systems to improve performance.
Responsibilities
- Create T-SQL scripts for report extraction and routine automation. Knowledge of relational modeling and extract, transform and load (ETL) processes;
- Support developers with access, user management, diagrams, programmable objects and bulk data manipulation for testing and acceptance;
- Define tables, indexes, views, constraints, triggers, stored procedures, storage parameters or tablespaces and other database-specific constructs required to store, retrieve and delete persistent objects;
- Develop and maintain the corporate data model (CDM), data integration architecture, data taxonomy, and data and metadata standards;
- Define and maintain Golden Records, hierarchies, master and reference data; understand, develop and maintain metadata;
- Design, implement and maintain solutions that meet the company’s data needs. Includes data-focused activities within the system development lifecycle, such as data modeling, data requirements analysis and design, deployment and database maintenance;
- Monitor and tune database performance: perform proactive (preventive) and reactive (post-incident) monitoring. This involves managing user response time performance from a variety of root causes (SQL coding issues, problematic commands, poor database design, missing proper indexes, outdated statistics used by the query optimizer, etc.);
- Administration and management of local and remote databases;
- Automate routines using Shell Script;
- Configure environments to optimize performance;
- Build database architectures for high availability (clustering) based on technology best practices;
- Build architectures for bulk data transfer;
- Define and execute data loading and extraction routines;
- Develop and maintain procedures for querying, capturing, updating and storing data;
Requirements
- Experience in:
- Data manipulation (DML) and definition (DDL) activities: defining tables, indexes, views, constraints, triggers, stored procedures, storage parameters or tablespaces and other database-specific constructs required to store, retrieve and delete persistent objects;
- Monitoring and tuning database performance: proactive (preventive) and reactive (post-incident) monitoring. Involves managing user response time performance resulting from various root causes (SQL coding issues, problematic commands, poor database design, missing proper indexes, outdated statistics used by the query optimizer, etc.);
- Configuration, implementation, monitoring, tuning and data auditing;
- Troubleshooting and incident resolution, including root cause analysis for database-related issues.
- Systems analysis;
- Use of CA ERWin 7.x or higher.
- Knowledge of:
- Agile project management methodology (SCRUM);
- Data modeling for relational databases;
- Systems development;
- Certification:
- MCDBA (Microsoft Certified Database Administrator);
- Education:
- Bachelor's degree in progress or completed in Information Technology.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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