Sr.Developer

Ford Data Factory Platform Engineer

Primary and Secondary skill set - GCP- (BigQuery,DataFlow,DataFusion,DataProc), Hadoop Eco system Roles/Responsibilities (5 – 8 day to day candidate's responsibilities)

Job Description The Ford Data Factory Platform covers all business processes and technical components involved in ingesting a wide range of enterprise data into the GDIA Data Factory (Data Lake) and the transformation of that data into consumable data sets in support of analytics. The Ingestion Patterns team will own end to end responsibility for the platform operating model which includes defining the business integration model, platform governance processes, problem management processes and resiliency actions. Additionally, the team will be responsible for defining standards and best practices across all tenants and consumers of Platform resources. Data Factory Engineers will be responsible for designing ingestion patterns and modernization of Fords big data solutions on GCP cloud integrating native GCP services and 3rd party data technologies. Experience with large scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud. Key responsibilities include:

• Work as part of an implementation team from concept to operations, providing deep technical subject matter expertise for successfully deployment of Fords Data Platform
• Implement methods for standardization of all parts of the pipeline to maximize data usability and consistency
• Identify, develop, evaluate and summarize Proof of Concepts to prove out solutions.
• Test and compare competing solutions and report out a point of view on the best solution
• Design and build solutions to deliver our pipeline patterns using Google Cloud Platform (GCP)