KEY SKILLS AND EXPERIENCE

• Extensive Python development experience (Django framework)
• Extensive experience with AWS native services such as Lambda, S3, API Gateway, SQS, SNS, CloudWatch, DMS, RDS and CloudFormation.
• Strong proficiency in API integration, event-based architectures, microservices, and data products.
• Comfortable working with AWS native CI/CD tools (e.g., AWS CodeCommit, CodeDeploy, etc.) and sprint management and documentation tools (e.g., Jira, Confluence).
• Strong understanding of AWS networking, infrastructure and security.
• Excellent verbal/written communication and teamwork skills suitable for a fast-paced, agile, and collaborative development environment.
• Strong SQL knowledge and experience designing and managing data models.
• Proficiency in AWS Glue and related AWS services to manage data pipelines, automate ETL workflows, and integrate datasets for reporting and dashboard creation.
• Experience extracting and transforming complex data sets (ETL process design and administration).
• Experience of integrating bespoke solutions with 3rd Party SaaS and PaaS services, e.g. Netsuite, Oracle Cloud, Boomi, etc.
  Please apply asap if interested
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• Working within an AGILE based team structure to plan and support definition, coding and deployment of Java, Java Script, Rest based APIs within an efficient and scalable software delivery pipeline to create domain data services within principles and practices of MACH
• Identify, develop, document, deliver and modify high-performance APIs and programs using Java and Amazon Web Services (AWS)
• Monitor API performance and promptly troubleshooting issues.
• Participate in or lead functional, regression and load testing as defined in the test specifications, including event logging, and reporting of results.
• Manipulate data, automate tasks and perform complex analysis using programming languages such as Python, R and SQL
• Configure and manage a secure AWS infrastructure, including EC2, API gateways, containerisation technologies like Docker, orchestration tools such as Kubernetes and Relational Database services necessary to support a continuous integration/delivery environment, using principles and practices of infrastructure-as-code (IAC).