GCP Data Engineer
Stefanini Group is hiring!
Stefanini is looking for a GCP Data Engineer, Dearborn, MI (Hybrid/Remote)
For quick apply, please reach out Pawan Rawat at pawansingh.rawat@stefanini.com/ 248-213-3605
We're seeking an experienced GCP Data Engineer who can build cloud analytics platform to meet ever expanding business requirements with speed and quality using lean Agile practices. You will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and Analytics in the Google Cloud Platform (GCP).You will be responsible for designing the transformation and modernization of GCP, as well as landing data from source applications to GCP. Experience with large scale solution and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform or other cloud environments 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 the right solutions with appropriate combination of GCP and 3rd party technologies for deploying on Google Cloud Platform.
Responsibilities:-
Work in collaborative environment including pairing and mobbing with other cross-functional engineers-
Work on a small agile team to deliver working, tested software-
Work effectively with fellow data engineers, product owners, data champions and other technical experts-
Demonstrate technical knowledge/leadership skills and advocate for technical excellence-
Develop exceptional Analytics data products using streaming, batch ingestion patterns in the Google Cloud Platform with solid Datawarehouse principles-
Be the Subject Matter Expert in Data Engineering and GCP tool technologies-
Implement methods for automation of all parts of the pipeline to minimize labor in development and production-
Test and compare competing solutions and report out a point of view on the best solution.-
Integration between GCP Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.-
Identify, develop, evaluate and summarize Proof of Concepts to prove out solutions.-Designing and deploying a pipeline with automated data lineage.