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This job post has expired on March 23, 2026. It is likely that the position has already been filled.

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Text2SQL Developer at Turing

posted 1 month ago
turing.com Contractor remote 140 views

Text2SQL Developer | Remote | Contractor

Turing is seeking a skilled SQL Developer to join our Text2SQL project team. In this role, you'll leverage deep SQL expertise to analyze complex data models, collaborate with business stakeholders, and translate real-world requirements into accurate, efficient SQL code. If you thrive on bridging the gap between business logic and data, this is the opportunity for you.

Key Responsibilities

  • Develop and maintain SQL queries, stored procedures, and data transformation logic
  • Analyze and interpret 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 adhere to established development standards
  • Debug and optimize SQL queries for performance improvements
  • Create and maintain technical documentation for developed solutions
  • Support testing activities and resolve data-related issues

Required Qualifications

  • 2+ years of hands-on SQL development experience
  • Proficiency in at least one SQL dialect, including: Databricks SQL, T-SQL (SQL Server), PL/SQL (Oracle), MySQL, PostgreSQL, or other RDBMS platforms
  • 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 command 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 a related field
  • Experience with cloud data platforms such as Databricks or Snowflake
  • Knowledge of data warehousing concepts and dimensional modeling
  • Understanding of data quality and validation techniques

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