Job Description

Job Specification:
  • Looking for a creative, and technically sharp professional who combines deep SQL expertise with AI integration in day-to-day workflows.
  • While thinking in queries he/she should automate their tasks using AI tools instead of traditional approach.
  • Will be working alongside data scientists and engineering team to architect scalable database solutions, streamline schema documentation, and accelerate reporting workflows using both SQL and AI-driven strategies. 

Job Description & Org Chart
  1. Design, optimize, and maintain relational databases (SQL Server, PostgreSQL)
  2. Use AI tools (e.g., ChatGPT) to automate:
  • Query generation and performance tuning
  • Schema exploration and ER diagram creation
  • Data dictionary and metadata documentation
  1. Collaborate with cross-functional teams to translate business requirements into efficient, production-ready SQL
  2. Develop stored procedures, views, and performance-optimized scripts for dashboards and ETL processes
  3. Build AI-integrated pipelines to reduce development time and improve query accuracy
  4. Contribute to prompt engineering for advanced database operations
  5. Partner with engineers to embed AI in database lifecycle tasks—from schema management to index optimization
  6. Contribute to and promote good software engineering practices across the team
  7. Knowledge sharing with the team to adopt best practices
  8. Actively contribute to and re-use community best practices.

Desired Skills:
  1. 4-5 years of experience in SQL development, Indexing and performance optimization
  2. Strong foundation in relational database design, normalization, ER modeling and query tuning
  3. Writing reusable logic for business rules
  4. Using execution plans, indexing strategies, and profiling tools
  5. Experience using AI tools like ChatGPT, OpenAI or similar for data tasks.
  6. Prompt engineering, using LLMs for query generation and documentation.
  7. Role-based access, encryption, GDPR awareness
  8. Excellent communication skills to document and present technical logic clearly
  9. Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation
  10. Ensuring data accuracy and query reliability
  11. Prioritizing tasks across multiple projects

Tools:

SQL Server, PostgreSQL, SSMS, Azure Data Studio, ChatGPT, OpenAI, Git, Github, Azure SQL

Nice to Have – Power BI or Tableau

 

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