Proficiency in using Git/Azure DevOps for version control and collaborative development. • Sound knowledge to ensure efficient and structured development processes. Additional(desired) • Typescript • Angular JS
Proficiency in using Git/Azure DevOps for version control and collaborative development. • Sound knowledge to ensure efficient and structured development processes. Additional(desired) • Typescript • Angular JS
applications. You will identify and define procedures, processes, and information flow for system maintenance aligned experience with Natural/Adabas, BATCH, and Online processing. • Minimum 2 years of experience with Natural and relational databases. • Knowledge of data processing concepts, ETL pipelines, and data warehousing
applications. You will identify and define procedures, processes, and information flow for system maintenance aligned experience with Natural/Adabas, BATCH, and Online processing. • Minimum 2 years of experience with Natural and relational databases. • Knowledge of data processing concepts, ETL pipelines, and data warehousing
defined Software Development Life Cycle (SDLC) processes and that each deliverable meets the organization's experience with Software Development Life Cycle (SDLC) processes. Knowledge of Agile environments (e.g., Scrum application link at www.codematch.co.za to complete the process. We look forward to reviewing your application
applications. You will establish and outline procedures, processes, and information flows for system upkeep, ensuring experience with Natural/Adabas, BATCH, and Online processing. Minimum 2 years of experience with Natural programming and relational databases. Knowledge of data processing concepts, ETL pipelines, and data warehousing
applications. You will establish and outline procedures, processes, and information flows for system upkeep, ensuring experience with Natural/Adabas, BATCH, and Online processing. Minimum 2 years of experience with Natural programming and relational databases. Knowledge of data processing concepts, ETL pipelines, and data warehousing
involve assessing opportunities for application and process improvement and documenting the rationale behind