Tech Delivery ArchitectGCP
Posted on :
06-02-2024
Employer Active
1 Vacancy
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Job Description
1518 years of IT experience on Data Analytics based projects
Experience in solution designing in Data Warehouse ETL Data Lake Lakehouse for new Data Architecture Implementation & onpremise to Cloud migration solutions
Must have experience in designing Data Pipelines architecture of data platforms on GCP
Must have played the role of Data Solutions Architect for entire delivery livecycle of projects and should have owned the technical solution
Experience in Data Modeling for all data layers of DWH / Data Lake on cloud as well as on premise
Should have handson experience with D&A specific GCP native services like BigQuery DataFlow DataProc Cloud Composer PubSub Cloud Storage BigTable etc.
Should have been involved as an architect in at least 2 D&A implementations on GCP
Good understanding of Google best practice/recommendation and should be able to align the same with the customer requirements to deliver best in class solution for the customer s Analytics requirements.
Should have fair understand of Data Governance practices including challanges & learnings for GCP based Data Platforms
Capabilities to implement and provide GCP operations and deployment guidance and best practices throughout the lifecycle of a project
Extensive experience in Estimations & work breakdown for tasks carried out in project lifecycle
Good to have supported proposals from technical solutioning perspective
Strong customer facing experience.
Excellent communication listening and influencing skills
gcp operations and deployment guidance,data warehouse,etl,communication,gcp native services,cloud composer,bigtable,technical solutioning perspective,d&a implementations,data analytics,listening,project lifecycle,lakehouse,bigquery,gcp,on-premise to cloud migration solutions,estimations,data architecture implementation,solution designing,dataproc,work breakdown,data governance practices,pubsub,gcp based data platforms,data pipelines architecture,google best practice/recommendation,cloud storage,customer facing experience,influencing skills,data lake,dataflow
Employment Type
Full Time
Key Skills
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