Data Modeler
LTM
Role description Role Data Modeler Large Commercial Insurance Location Remote
Primary Skills Design and develop Logical Physical Data Models for Data Warehouse Data Mart layers in Snowflake Experience in translating business requirements into logical and physical data model Ability to perform data analysis on source data to come up with relevant models Experience in developing SCD1SCD2SCD3 Dimension Data models and data warehouse Define data entities attributes and relationships based on business requirements data sources and analytical needs Map source data structures to target data models and schemas ensuring data consistency integrity and quality during the ingestion process Strong experience working with Erwin Data Modeler for conceptual logical and physical models Strong in Snowflake data warehousing concepts staging curated layers marts Strong SQL skills with the ability to validate transformations and model outputs Insurance Domain Expertise Underwriting Policy Administration Claims Reinsurance Secondary Skills Data Vault Modelling Master Data Management MDM Metadata Management Canonical Data Models Data Governance Data Lineage Data Quality Frameworks AWS Azure Cloud Platforms Soft Skills Communication Skills Ability to interact with business users architects analysts and developers to understand and clarify requirements Analytical Thinking Ability to understand complex business processes and translate them into structured data models Stakeholder Management Ability to collaborate effectively with business SMEs project teams and leadership across multiple functions Attention to Detail Ensuring accuracy in data models relationships naming conventions and data definitions ProblemSolving Skills Ability to identify data issues assess impacts of system changes and recommend effective solutions Qualifying Questions 1Do you have Experience in building data model for data warehousing 2Do you have experince in building data models for insurance domain 3Do you have experince in data profiling 4Do you have experience working with Snowflake
Primary Skills Design and develop Logical Physical Data Models for Data Warehouse Data Mart layers in Snowflake Experience in translating business requirements into logical and physical data model Ability to perform data analysis on source data to come up with relevant models Experience in developing SCD1SCD2SCD3 Dimension Data models and data warehouse Define data entities attributes and relationships based on business requirements data sources and analytical needs Map source data structures to target data models and schemas ensuring data consistency integrity and quality during the ingestion process Strong experience working with Erwin Data Modeler for conceptual logical and physical models Strong in Snowflake data warehousing concepts staging curated layers marts Strong SQL skills with the ability to validate transformations and model outputs Insurance Domain Expertise Underwriting Policy Administration Claims Reinsurance Secondary Skills Data Vault Modelling Master Data Management MDM Metadata Management Canonical Data Models Data Governance Data Lineage Data Quality Frameworks AWS Azure Cloud Platforms Soft Skills Communication Skills Ability to interact with business users architects analysts and developers to understand and clarify requirements Analytical Thinking Ability to understand complex business processes and translate them into structured data models Stakeholder Management Ability to collaborate effectively with business SMEs project teams and leadership across multiple functions Attention to Detail Ensuring accuracy in data models relationships naming conventions and data definitions ProblemSolving Skills Ability to identify data issues assess impacts of system changes and recommend effective solutions Qualifying Questions 1Do you have Experience in building data model for data warehousing 2Do you have experince in building data models for insurance domain 3Do you have experince in data profiling 4Do you have experience working with Snowflake
Vacancy posted more than 2 months ago
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