Virtusa
GCP Data Architect
Job Description
Python Knowledge with Py spark, Pandas and Python Objects
Knowledge of Google Cloud Platform
GCP Certified Prof. Data Engineer.
Google Cloud GCP cloud composer, cloud storage, Data proc, Big query
SQL Strong SQL & Advanced SQL
Spark writing skills on Py spark
DWH Data warehousing concepts & dimension modeling
GIT
Teams Leading Experience
Apache Spark
Scheduling tools ETL tools
Roles & Responsibilities
Drive one team as an lead and also provide Technical Solutions to the multiple teams
Contribute in the Sprint deliverables as an individual contributor as well
Team Management Assign the tasks to the team, Help Guide Team Members for technical Queries
Excellent troubleshooting attention to detail, and communication skills in fast paced setting
Good Understanding of Technical Requirements and co ordination with business Technical stakeholders
Design & Build Enterprise Datawarehouse & DataMart s, deploy in cloud (GCP)
Perform Descriptive Analytics & Reporting
Perform peer code reviews, design documents & test cases
Support systems currently live and deployed for customers
Build knowledge repository & cloud capabilities
Good understand writing python code
Understanding Agile User Story creation
Able to train Junior/Fresher resources on the GCP, Python, SQL and other project related skills
Contribution to the Service Line initiative within Organization
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