What are the responsibilities and job description for the Sr Data Architect/Data Modeler position at Keylent?
Job Details
14 years of overall technology experience required.
Datawarehouse, Data Lake , Data Modelling (traditional and latest), Data Management practice; Integrating with Oracle Apps, Workday, SAP, Service Now; Talend, BODS.
12 years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required
7 years of experience in defining Data & Analytics architecture implementing multiple large technology projects.
5 years of experience working with Agile teams preferred
Expertise in designing, validating and implementing multiple projects across the hybrid infrastructure ( On-cloud to On-Premise and vice versa)
Experience in seamless integration of enterprise data models with data models of packaged solutions (e.g. Oracle Apps, Workday, SAP, Service Now)
Expertise in setting up Data Lakes and analytical environments
Expertise with Data Engineering tools such as Talend, BODS
Expertise with relational SQL and NoSQL databases
Extensive experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and DataMarts
Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.
Experience in message queuing, stream processing, and highly scalable big data data stores
Experience with big data tools such as Kafka
Datawarehouse, Data Lake , Data Modelling (traditional and latest), Data Management practice are mandatory
