V
Architect
V
Architect
Virtusa- Posted 2 hours ago
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Job Description
Job Requirements
10+ years of experience working with Data in any Analyst based role.
Ability to analyse Data in relational, non-relational and file (flat files, hierarchical formats, compressed storage formats) based data stores.
Design and implement data processing pipelines using Python and Spark.
Strong programming experience in the following technologies: Python, Spark and SQL (preferably Big Query)
Experience with data processing platforms and cloud environments like AWS or GCP(preferably)
Experience with XML and JSON data structures.
Understanding of ETL processes and their impact on data quality.
Experience with Scripting to enable automation of Data collection, data transformation, and data loading.
Experience with Analysing structured and unstructured data.
Write efficient and scalable code to clean, transform, and analyse data.
Optimize data processing workflows for performance and scalability.
Develop and maintain detailed technical documentation.
Conduct code reviews and ensure coding standards are met.
Troubleshoot and resolve data processing issues promptly.
Work seamlessly with cross-functional teams to deliver data-driven insights.
Strong application deployment experience on Google App Engine/ Google Compute Engine. Databases: Oracle, MySQL, SQL server
Application Server: JBoss, Apache Tomcat
Should have strong client handling experience.
Should have technical experience developing applications using the skill set mentioned above.
Should be capable of doing an impact analysis on applications when need arises.
Passionate and curious about Data with strong commitment to producing quality deliverables
Experience collaborating across time zone as part of a global team
Work Experience
10-15Years
10+ years of experience working with Data in any Analyst based role.
Ability to analyse Data in relational, non-relational and file (flat files, hierarchical formats, compressed storage formats) based data stores.
Design and implement data processing pipelines using Python and Spark.
Strong programming experience in the following technologies: Python, Spark and SQL (preferably Big Query)
Experience with data processing platforms and cloud environments like AWS or GCP(preferably)
Experience with XML and JSON data structures.
Understanding of ETL processes and their impact on data quality.
Experience with Scripting to enable automation of Data collection, data transformation, and data loading.
Experience with Analysing structured and unstructured data.
Write efficient and scalable code to clean, transform, and analyse data.
Optimize data processing workflows for performance and scalability.
Develop and maintain detailed technical documentation.
Conduct code reviews and ensure coding standards are met.
Troubleshoot and resolve data processing issues promptly.
Work seamlessly with cross-functional teams to deliver data-driven insights.
Strong application deployment experience on Google App Engine/ Google Compute Engine. Databases: Oracle, MySQL, SQL server
Application Server: JBoss, Apache Tomcat
Should have strong client handling experience.
Should have technical experience developing applications using the skill set mentioned above.
Should be capable of doing an impact analysis on applications when need arises.
Passionate and curious about Data with strong commitment to producing quality deliverables
Experience collaborating across time zone as part of a global team
Work Experience
10-15Years
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Key Skills
About Company
Skills:
subledger accounting , Uat, Otbi, Rice Components, Conversion, Bi Publisher, Sql, Web Services, Sit, CRP, Cutover, Cash Management, Tax, Order Management, Oracle E-Business Suite R12, revenue recognition, Oracle Revenue Management Cloud Service, FBDI, IFRS 15, Oracle Fusion Cloud, Revenue Management, Receivables, ERP implementations, Order-to-Cash, ASC 606, General Ledger
Skills:
Java, Apis, Kafka, Automated Testing, Microservices, Openshift, Python, Kubernetes, RAG workflows, Specification-driven development, Code migration, GitOps, Lab-integrated testing, Agent harness engineering, CI CD, Responsible AI practices, Knowledge-base creation, Automated defect triage, Kubernetes Operators, Java Spring Boot, Cloud-native architecture, Agentic workflows, Multi-agent pipelines
Skills:
Servicenow, Itsm, Incident Management, ITOM, automation, Csm, Spm, monitoring and observability tools, AI infrastructure, programming and scripting skills, HRSD