Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are looking for SQL Developers to support an LLM training project by building high-quality datasets and SQL logic that accurately represent real business scenarios. You will work with complex data models, extract and transform data, and ensure that the SQL outputs used for model training are precise, consistent, and aligned with business context. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor assignment (no medical/paid leave) Duration of contract: 8 weeka Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico Two rounds of interviews (60 min technical + 30 min technical/cultural discussion) Roles & 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 Skills & Qualifications 2-4 years of hands-on SQL development experience Highly Proficient in PL/SQL and experienced with cloud data platforms (Databricks, Snowflake, etc.) Knowledge of data warehousing concepts and dimensional modeling Solid understanding of joins, subqueries, window functions, and advanced SQL concepts Experience with data transformation and aggregation techniques Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading Tech companies.
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