Strong experience in Star-schema, 3NF, Data Vault data modeling to design optimized, scalable database structures.
Proficiency with Data Modeling Tools:
Proficient in using data modeling tools like Erwin for creating and maintaining logical and physical data models.
Business Process Translation:
Ability to understand complex business processes and translate them into accurate and efficient data models that meet organizational needs.
Industry Experience:
Experience in the insurance industry is a plus, providing valuable insight into industry-specific data structures and requirements.
Complex Query Handling:
Proficiency in working with large tables and complex joins, ensuring data integrity and optimal query performance.
Performance-Driven Modeling:
Skilled in modeling tables and database structures with a focus on delivering the best query performance and minimizing response times.
AWS RDS Proficiency:
Extensive experience with AWS RDS (Relational Database Service), including managing and optimizing relational database systems in the cloud environment.
SQL Tuning Expertise:
Strong experience in SQL tuning, with a proven ability to analyze and improve query performance to meet business needs.
NoSQL Database Knowledge:
Essential knowledge and experience with NoSQL databases, particularly DynamoDB, to support a variety of data storage requirements.
Communication and Interpersonal Skills:
Excellent communication and interpersonal skills to effectively collaborate with both business stakeholders and IT teams.
Developer Guidance:
Ability to guide developers, providing recommendations and best practices for database design, performance optimization, and data management.
Database Security and Compliance:
Familiarity with database security best practices, ensuring compliance with relevant data protection regulations and standards.
Disaster Recovery and Backup Planning:
Experience in planning and implementing robust disaster recovery and backup strategies to protect critical data assets.
Automation and Scripting:
Proficient in automating routine database administration tasks using scripting languages like Python or Bash, improving efficiency and reducing manual work.
Version Control Knowledge:
Experience with version control systems like Git for managing database schema changes and maintaining version history.
Capacity Planning:
Ability to plan and manage database capacity, ensuring scalability and availability as data volumes and transaction loads grow.
Problem-Solving Skills:
Strong analytical and problem-solving skills, with the ability to troubleshoot complex database issues and implement effective solutions.
Database Monitoring Tools:
Proficiency with database monitoring tools and techniques to ensure optimal performance and quickly identify potential issues.
Cross-Platform Database Management:
Experience managing databases across multiple platforms (e.g., Oracle, SQL Server, MySQL) and integrating them into a unified data architecture.
Project Management:
Basic project management skills to oversee database-related projects, ensuring timely delivery and alignment with business objectives.