ABOUT THE ROLE:
Role Description:
- Experience in Data warehousing AWS Cloud Business Intelligence Informatica and Databricks(data flow design development enhancement and maintenance).
- Real time data ingestion using Stream sets
- Experience UDM Model
- Experience in Dimensional Modelling Data Migration Data Cleansing Data conversion and bridging and ETL techniques on multiple databases and operating systems.
- Experience in Python Databricks perl spark Kubernetes dockers and other cloud native tools and technologies.
- Informatics Power Center PL/SQL Cobol C JCL Teradata BTEQ Unix Shell scripting
- Contextual knowledge on Nationwide claims applications and data processing into warehouse.
- DataLakehouse development on Ingestion Harmonization and Curation layers
- Experience in developing application framework to ingest third party data.
Essential Skills:
- Data warehousing AWS Cloud Business Intelligence Informatica and Databricks(data flow design development enhancement and maintenance).
- Real time data ingestion using Streamsets
- Experience UDM Model
- Experience in Dimensional Modelling Data Migration Data Cleansing Data conversion and bridging and ETL techniques on multiple databases and operating systems.
- Python Databricks perl spark Kubernetes dockers and other cloud native tools and technologies.
Desirable Skills: P&C insurance domain knowledge.
Competencies: Digital : Databricks Digital : PySpark.