LLM -SQL/PL Sql Developer

LLM -SQL/PL Sql Developer

Special Req:-

Experience with cloud data platforms (Databricks, Snowflake, etc.)

Knowledge of data warehousing concepts and dimensional modeling

Skill:-

2-4 years of hands-on SQL development experience

Highly Proficient in PL/SQL

Position: 05

Role overview:-

We are seeking skilled SQL Developers to join our team. The ideal candidate will have strong hands-on SQL and PL-SQL experience with the ability to understand complex data models and translate business requirements into efficient SQL code that captures business context accurately

Key Responsibilities:-

Develop and maintain SQL queries, stored procedures, and data transformation logic

Analyze and understand existing data models and database schemas

Collaborate with business stakeholders to gather and clarify requirements

Translate business requirements into SQL code that accurately reflects business logic

Write efficient, maintainable, and well-documented SQL code

Perform data analysis and validation to ensure accuracy of SQL implementations

Participate in code reviews and follow established development standards

Debug and optimize SQL queries for performance improvement

Create and maintain technical documentation for developed solutions

Support testing activities and resolve data-related issues

Required Qualifications :-

2-4 years of hands-on SQL development experience

Highly Proficient in PL/SQL

Strong understanding of relational database concepts and data modeling

Ability to read and interpret complex data models and ERDs

Experience translating business requirements into SQL logic

Solid understanding of joins, subqueries, window functions, and advanced SQL concepts

Experience with data transformation and aggregation techniques

Preferred Qualifications:-

Bachelor's degree in Computer Science, Information Systems, or related field

Experience with cloud data platforms (Databricks, Snowflake, etc.)

Knowledge of data warehousing concepts and dimensional modeling

Understanding of data quality and validation techniques.