Responsibilities
- Design, develop, and optimize complex SQL Server database solutions.
- Write highly efficient, scalable, and maintainable T-SQL code, including advanced stored procedures, views, functions, and triggers.
- Analyze execution plans, troubleshoot complex performance issues, and implement advanced indexing, partitioning, and query refactoring strategies to resolve critical bottlenecks in high-volume workloads.
- Design robust, scalable relational data models (OLTP/3NF) and analytical structures optimised for data integrity, low-latency data access, and seamless reporting.
- Ensure solutions reduce impact on transactional systems by optimising data access patterns and separating operational and reporting workloads.
- Define and enforce strict standards for naming conventions, database design, and documentation; lead code reviews and champion SQL development best practices.
- Mentor junior developers and engineers on advanced SQL optimization and relational modelling practices.
- Work closely with backend application developers, BI teams, and business analysts to support data requirements.
- Assist with and maintain existing data ingestion processes, providing SQL support for ETL/ELT pipelines and integrations where necessary.
Requirements
- 6+ years of deep, hands-on experience in complex T-SQL query development, advanced stored procedures, views, user-defined functions, and execution plan analysis.
- Proven track record of diagnosing and resolving severe performance bottlenecks related to locking, blocking, deadlocks, and IO/memory optimization in large-scale SQL Server environments.
- Mastery of indexing strategies (clustered, non-clustered, columnstore, filtered) and table partitioning to optimize massive datasets.
- Deep expertise in designing highly normalised relational models (3NF/OLTP), with a strong understanding of dimensional modelling (star/snowflake schemas) as a secondary benefit.
- Experience with ETL/ELT processes and data pipeline tools (e.g., SSIS, Azure Data Factory, dbt) is highly advantageous but considered a secondary requirement to core database development.
- Familiarity with Azure SQL, Git, Azure DevOps, CI/CD pipelines for databases, or BI tools like Power BI/Tableau is a plus.
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