Data Virtualization

Key Responsibilities:

• Data Virtualization & Integration: Implement and manage data virtualization tools to enable seamless data access across multiple sources.
• Database Management: Work with SQL and NoSQL databases to design, develop, and optimize data storage and retrieval solutions.
• Query Performance Optimization: Analyze and optimize SQL queries for high performance and efficiency.
• Identity & Access Management (IAM): Implement IAM policies to ensure secure and controlled data access across platforms.
• Backend Development: Utilize Python and Java to build scalable and efficient data processing applications.
• API Development & Integration: Design and develop RESTful APIs for data access, transformation, and integration with various systems.
• Security & Compliance: Ensure data security, compliance, and governance best practices are enforced.
• Collaboration & Best Practices: Work closely with data engineers, architects, and security teams to enhance system performance and scalability.

Required Skills & Qualifications:

• 6-8 years of experience in data engineering, database management, and API development.
• Proficiency in SQL (MySQL, PostgreSQL, SQL Server, etc.) and NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.).
• Experience in query performance tuning and database indexing strategies.
• Hands-on experience with IAM (Identity & Access Management) for secure data handling.
• Strong Python & Java programming skills for backend development and automation.
• Expertise in API development and integration for data access and management.
• Understanding of data security, compliance, and governance best practices.

Experience with Cloud Platforms (GCP) and their database offerings.