| Mandatory Skills: |
| - Sound understanding of Data Architecture / Data Modelling |
| - Python Programming for Data (Functional approach) |
| - Relational Database / SQL Experience |
| - Previous exposure to REST APIs ( for Data Pipelines / ETL ) |
| - Previous exposure to SOAP APIs ( for Data Pipelines / ETL ) |
| - Git & CI/CD (multi-branch approach) |
| |
| Nice to have: |
| - Exposure to DBT highly valued |
| - Exposure to Spark |
| - Exposure to Data Streaming technologies |
| |
| Role Description Skills |
| - Refinement / Envisoning of technical solutions to address business |
| - Requirements in light of the client Data Standards / Framework |
| - Implementation of Data Pipelines / Data Processes / APIs within the Data Platform Technical Stack |
| - Responsible for Development Environment Testing providing base evidence of results |
| - Support QA Engineers during SIT Testing Phase on Testing environment and responsible for Production deployment |
| - Support the Team on solving Production environment issues with existing Data Pipelines / REST APIs |
| - Main responsible on the Documentation effort of the technical solutions implemented (at User Story level / Data Catalog level) |
