Data Engineer Required skills and experience  Experience in Groovy scripting  Experience in Collibra workflow designing and build  Demonstrated experience connecting and integrating with advanced AI platforms such as Claude, OpenAI, and similar technologies using APIs and SDKs.  Deep understanding and hands-on experience of CICD processes and tooling e.g. GitHub.  Experience working in Dev-Ops teams based on Kubernetes tools  Understanding of connecting to various source systems  Deep understanding and practical knowledge of IDE’s eg Eclipse/PyCharm or any Workflow Designer.  Understanding of data loss, Personal information security  Exposure to Snowflake, S3, Redshift, SharePoint, Box (any one or more)  Hands-on experience in database concepts and fair idea about Data classification, lineage, storage  Fantastic written & spoken English, interpersonal skills, and a collaborative approach to delivery. Desirable skills and experience  Experience in conceptual and logical data modelling  Experience working on Collibra or any data governance or data management products.  Overall IT experience in the range of 8 to 12 years  Technical Degree to validate the experience  Deep technical expertise.  Basic AWS knowledge is a plus  Display a solid understanding of the technology requested and problem-solving skills  Must be analytical, focused and should be able to independently handle work with minimum supervision.  Good collaborator management and team player  Exposure to platforms like Talend Data Catalog, BigID or Snowflake is an advantage  Knowledge and experience of Integration technologies like Mulesoft and Snaplogic.  Excellent Jira skills including the ability to rapidly generate JQL on-the-fly and save JQL queries/filters/views/etc for publishing to fellow engineers & senior stakeholders.  Creation of documentation in Confluence.  Experience of Agile practices, preferably having been part of an Agile team for several years.