
Senior Data Solutions Architect
4 days ago
Job Overview
We are seeking an experienced Backend Developer with a strong background in SQL to join our team. The ideal candidate will have at least 2+ years of professional experience in backend development and SQL, with the ability to design, optimize, and deliver scalable data workflows.
Our Company
Our organization is a leading provider of cutting-edge technologies and services, offering customized solutions for companies of all sizes. We tailor our solutions to meet the changing market needs and client requirements, ensuring high-quality products that meet specific needs.
Job Responsibilities
- Design, develop, and maintain solutions to migrate data and processes from Azure Synapse to SQL Server or other SQL platforms.
- Develop and implement backend services and APIs that integrate seamlessly with SQL databases.
- Write, optimize, and troubleshoot complex SQL queries, stored procedures, and database functions.
- Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders to deliver reliable solutions.
- Monitor and optimize database performance, ensuring scalability, security, and data integrity.
- Apply best practices in data modeling, indexing, and performance tuning.
- Participate in system design discussions, code reviews, and architecture planning.
Qualifications
- 2+ years of professional experience in backend development and SQL databases.
- Strong knowledge of SQL Server (or equivalent relational databases).
- Hands-on experience with Azure Synapse Analytics and database migration/ETL processes.
- Proficiency in a backend programming language such as C#, Python, Java, or Node.js.
- Experience with API development and integration.
- Solid understanding of relational database design and normalization principles.
- Familiarity with Azure cloud services (Data Factory, Synapse Pipelines, SQL Database, etc.) is a plus.
- Strong analytical, troubleshooting, and communication skills.
Preferred Skills
- Experience in performance tuning of large-scale SQL queries.
- Knowledge of NoSQL or hybrid data solutions.
- Exposure to CI/CD pipelines and DevOps for database deployments.
- Understanding of data governance and compliance practices.
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