Key Responsibilities

• Design, develop, and optimize complex SQL-based data solutions across large and enterprise-scale datasets
• Build and maintain robust data models and transformation logic, ensuring performance, accuracy, and maintainability
• Troubleshoot and optimize query performance using advanced SQL techniques (joins, CTEs, window functions, execution plan analysis)
• Develop and maintain transformation frameworks using dbt where applicable
• Implement CI/CD pipelines using Azure DevOps for automated build, test, and deployment
• Apply strong Git-based development practices (branching, code reviews, version control)
• Support data platform components including Snowflake where required, but not as the primary focus
• Collaborate with stakeholders to translate business needs into scalable and efficient data solutions
• Ensure solutions are production-ready, including monitoring, stability, and support ha...