
High-Performance Database Architect
7 days ago
Job Overview:
We are seeking a skilled Backend Developer with strong SQL expertise to support the migration of data solutions from cloud-based systems to secure, scalable databases.
The ideal candidate will have at least 2+ years of professional experience in backend development and database optimization, with the ability to design, implement, and deliver high-performance data workflows.
Key Responsibilities:
- Develop, optimize, and maintain data migration solutions that ensure seamless integration between legacy systems and modern databases.
- Design and implement secure, scalable backend services and APIs that integrate seamlessly with relational databases.
- Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database functions to ensure efficient data processing.
- Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to deliver reliable, data-driven solutions.
- Monitor and optimize database performance, ensuring scalability, security, and data integrity across multiple systems.
- Apply best practices in data modeling, indexing, and performance tuning to ensure optimal system efficiency.
- Participate in system design discussions, code reviews, and architecture planning to drive innovation and improvement.
Required Skills and Qualifications:
- 2+ years of professional experience in backend development and database administration.
- Strong knowledge of relational databases (e.g. SQL Server) and hands-on experience with cloud-based platforms.
- Proficiency in a backend programming language (e.g. C#, Python, Java, or Node.js) and experience with API development and integration.
- Solid understanding of database design principles, normalization, and data governance.
- Experience with DevOps tools and methodologies for efficient database deployment and management.
- Familiarity with cloud services (e.g. Azure Synapse Analytics, SQL Database) is a plus.
Desirable Skills:
- Experience in performance tuning of large-scale SQL queries and optimizing database query execution plans.
- Knowledge of NoSQL or hybrid data solutions and exposure to CI/CD pipelines and automation scripts.
- Understanding of data compliance practices and regulations (e.g. GDPR, HIPAA).
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