Data Operations Engineer

Key roles and responsibilities: Undertake the processing of structured and unstructured data to utilize in data science activities. Support the data analysis of large information to discover trends and patterns and provide feedback to the business. Assist in designing and implementing scalable and robust processes for ingesting and transforming datasets. Design, implement, and support the creation and maintenance of data pipelines from a multitude of sources. Ingest large, complex data sets that meet functional and non-functional requirements. Request For Change (RFC) management in Amazon Managed Services (AMS) (logging, escalation, resolution) Provisioning infrastructure in AWS (via RFC process, CloudFormation, Console) AWS Security Management (authoring IAM security policies, logging security requests, user management/permissions) Infrastructure As Code (development of CloudFormation templates) Development, deployment, and management of CICD (Continuous Integration Continuous Deployment ) pipelines. Linux and Windows System Administration within AWS (SSH, RDP). Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data. Supports the organisations cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices. Work with various stakeholders across the organization to understand data requirements and apply technical knowledge of data management to solve key b