Enterprise Collaboration tools such as Confluence, JIRA etc Developing technical documentation and artefacts artefacts Working with Data Quality Tools such as Great Expectations Developing and working with REST API's Secrets Manager Code Build/Pipeline CloudFormation Technical data modelling and schema design (“not drag and
including the ability to communicate technical concepts to a non-technical audience Excellent knowledge of (Handlebars) Proficient understanding of code versioning tools (Git, GitHub) Solid expertise in PostgreSQL and
Engineer Certification would be advantageous Related Technical certifications Experience Experience of developing years must have been in an Azure environment Technical Competencies Hands-on experience with some of Dimensional modelling Transact SQL Automation/Scheduling tools/frameworks Working knowledge of Data Ops Understanding
Develop and maintain infrastructure as code using tools such as Terraform, CloudFormation, or similar. Ensure maintained across all cloud environments. Provide technical guidance and mentorship to junior team members
our clients. This company values collaboration, technical excellence, and continuous improvement. As they Bash, or PowerShell). Knowledge of monitoring tools for infrastructure and application performance monitoring
engineering, financial services data processes, technical business intelligence. 5 - 7 years' experience management experience Experience with data visualisation tools, such as Power BI, Tableau, etc. The Reference Number
dependant software i.e., Webservers, Java, Docker Build tools to reduce occurrences of errors and improve Developer researched positions with top companies to strong technical candidates. Check out our website www.e-merge
interface routines using ETL tool, ensuring that business and technical requirements are met. Ensure
business objectives. Utilise business intelligence tools (such as Tableau, Power BI, or similar) to create abreast of advancements in business intelligence tools, technologies, and methodologies, and recommend manipulation. Experience with data visualisation tools such as Tableau, Power BI, or similar. The Reference
working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be beneficial Familiarity Hadoop, Spark) Experience with data visualization tools (e.g., Tableau, Power BI, Grafana) Analyse complex