least 7 years in IT Industry Provide middleware support and configuration management for application dependant important metrics about reliability and availability Support operational excellence goals through strong operations operations knowledge. Resolve escalated support topics as part of tier-3 DevOps role to ensure the highest researched positions with top companies to strong technical candidates. Check out our website www.e-merge
trustworthy data to support high performing ML algorithms, predictive models and support real-time data visualisation standards are upheld Create easily understandable technical documentation that are kept up to date Conduct
secure, and robust cloud infrastructure that supports their mission. Key Responsibilities: Design, develop maintained across all cloud environments. Provide technical guidance and mentorship to junior team members
backend and frontend user stories and providing support for existing solutions (DevOps) If you want to and Helm chars. Well versed in architecture and technical patterns: GitOps operators (ArgoCD / Flux) Github
requirements and translating these into functional and technical specifications Development of MS SQL and Power of MS SQL queries/views and ETL/SSIS packages. Support and enhancements to existing clients' Power BI
Participate in the formulation of standards to support the data acquisition development process. Design routines using ETL tool, ensuring that business and technical requirements are met. Ensure compliance with established
including the ability to communicate technical concepts to a non-technical audience Excellent knowledge of
tools such as Confluence, JIRA etc Developing technical documentation and artefacts Working with Data Secrets Manager Code Build/Pipeline CloudFormation Technical data modelling and schema design (“not drag and
deliver top-tier software that aligns with both technical and business objectives. Additionally, you will
transition path to AWS cloud. Design, implement and support an analytical data infrastructure providing ad-hoc big data technologies and Kafka CC. Create and support real-time data pipelines built on AWS technologies