Senior Database Developer

• A relevant ICT degree or equivalent qualification.
• Requirements gathering - minimum five (6) year experience.
• Project management - minimum five (6) year experience.
• Technical writing – minimum five (6) year experience.
• Database design and implementation - minimum five (6) year experience.
• SQL development - minimum five (6) year experience in developing data solutions on MSSQL platform.
• Reporting and dashboarding - minimum five (6)) year experience developing reports and dashboard using PowerBI, SRSS and MSSQL
• Data quality assurance - minimum five (6) year experience.
• Data management - minimum three (3) year experience.
• Data migrations - minimum three (3) year experience.
• Data Warehousing – minimum three (3) year experience
• Data modelling - minimum three (3) year experience.
• Data Governance – minimum two (2) year experience
• Requirements gathering - minimum two (2) years experience in gathering and translating requirements into technical designs and solutions.
• Mentoring – experience in providing mentoring to junior resources.

• Requirements gathering – through engagement with business i.e., collect, document, and review business requirements.
• Database design and implementation – design, implement manage complex databases and data structures that meet business requirements, taking scalability, reliability and performance into consideration.
• Database modelling – understanding of data modelling concepts and create logical and physical data models to support database design. create and maintain data models and data structures, ensuring data consistency and accuracy.
• SQL development - develop SQL scripts and optimise database performance using techniques like indexing, partitioning, and query optimization. including writing complex queries, stored procedures and triggers to support business operations.
• Data migration – migrate data from one data source to another, ensuring data integrity and accuracy during the migration process.
• Data management –manage and maintain large amounts of data and ensure data quality, accuracy, and security. Reviewing reports and performance indicators.
• Data quality assurance – ensuring the integrity and accuracy of data through well-defined verification and validation models.
• Reporting and dashboarding - develop reports and dashboards providing a view on trends, patterns, focus and prediction based on relevant data sets.
• Data Warehousing - develop data warehousing solutions, including data integration, data cleaning, and data warehousing design.
• Technical writing – develop and maintain comprehensive technical documentation and specifications and related technical specifications.
• Project management – adhere to project management standards and techniques in the line of work.
• Data Governance - implement data governance processes and policies to ensure data integrity and security.
• Mentoring – guide and support junior resources on data related tasks.

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