Senior SQL Developer: Data Solutions & Performance

Sulekha.com New Media Pvt Ltd; Hayward, Northern (CA, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Sulekha.com New Media Pvt Ltd in California is seeking an experienced SQL Developer to design, develop, optimize, and maintain databases, queries, stored procedures, and data solutions.

You will collaborate with application developers, data analysts, and business teams to translate requirements into scalable data architectures, implement ETL processes, and ensure data integrity and performance across production systems.

Qualifications

• Strong SQL skills and experience with relational databases.
• Ability to design and implement database structures and queries.
• Experience collaborating with developers, analysts, and business teams.

Responsibilities

• Develop and maintain SQL queries, stored procedures, functions, views and triggers.
• Design relational database structures including tables, indexes, and relationships.
• Analyze and optimize SQL performance and query plans.
• Perform database development, testing, troubleshooting and production support.
• Develop ETL processes and support data integration and migration activities.
• Ensure data accuracy, integrity, security and consistency.
• Work with developers and analysts to understand business and technical requirements.
• Create and maintain database documentation, data models and technical specifications.
• Monitor database performance and identify optimization opportunities.
• Participate in database upgrades, deployments and maintenance activities.
• Troubleshoot database-related issues and provide timely resolutions.

Skills

SQL

Database development

Data analysis

Collaboration

Job description

Sulekha.com New Media Pvt Ltd in California is seeking an experienced SQL Developer to design, develop, optimize, and maintain databases, queries, stored procedures, and data solutions.

You will collaborate with application developers, data analysts, and business teams to translate requirements into scalable data architectures, implement ETL processes, and ensure data integrity and performance across production systems.