Database Engineer with SQL Server

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Database Engineer with SQL Server based in India.

This role is an excellent opportunity for a database professional with strong expertise in SQL Server and modern cloud data technologies. You will contribute to the design, development, and optimization of scalable data solutions that support enterprise applications and analytics. Working in a fully remote environment, you will leverage your knowledge of database management, ETL processes, and cloud platforms to deliver reliable, high-performance data infrastructure. The position offers exposure to Azure-based data engineering, Snowflake development, and complex data integration projects while collaborating with experienced technical teams.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Database Engineer with SQL Server based in India.

This role is an excellent opportunity for a database professional with strong expertise in SQL Server and modern cloud data technologies. You will contribute to the design, development, and optimization of scalable data solutions that support enterprise applications and analytics. Working in a fully remote environment, you will leverage your knowledge of database management, ETL processes, and cloud platforms to deliver reliable, high-performance data infrastructure. The position offers exposure to Azure-based data engineering, Snowflake development, and complex data integration projects while collaborating with experienced technical teams.

Accountabilities

• Design, develop, and maintain robust database solutions using SQL Server to support business applications and enterprise data requirements.
• Develop and optimize database structures, queries, stored procedures, and performance to ensure reliability, scalability, and efficiency.
• Build and maintain ETL workflows using Azure Data Factory to support data integration and transformation processes.
• Develop and support Snowflake-based data solutions, including API development and integration with enterprise systems.
• Work with both relational and NoSQL databases to manage, process, and optimize large volumes of business-critical data.
• Troubleshoot database performance issues, implement optimization strategies, and ensure data quality, security, and availability.
• Collaborate with cross-functional teams to gather requirements, deliver technical solutions, and maintain comprehensive technical documentation.

Requirements

• 4–8 years of professional experience in database engineering, database administration, or related technical roles.
• Strong hands-on expertise with Microsoft SQL Server, including database development, optimization, and performance tuning.
• At least 5 years of experience working with NoSQL database technologies.
• Proven experience developing and supporting Snowflake data platforms and Snowflake API integrations.
• Hands-on experience building and maintaining ETL processes using Azure Data Factory.
• Solid understanding of database architecture, data integration, cloud data platforms, and enterprise data management best practices.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to optimize complex database environments.
• Excellent communication and collaboration skills with the ability to work effectively in a remote, project-driven environment.

Benefits

• Remote contract opportunity based in India.
• Monthly compensation ranging from INR 400,000 to INR 800,000, depending on experience and qualifications.
• Opportunity to work with modern technologies including SQL Server, Snowflake, Azure Data Factory, and NoSQL databases.
• Exposure to enterprise-scale database and cloud data engineering projects.
• Collaborative remote work environment with experienced technical professionals.
• Opportunities to expand technical expertise through challenging and impactful assignments.
• Flexible remote work model supporting work-life balance.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1