Data Modeler

Job Description of the Data Modeler Role

The Data Modeler will work towards design and implementation of new data structures to support the project teams delivering on ETL, Data warehouse design, managing the enterprise data model, the maintenance of the data, and enterprise data integration approaches.

Technical Responsibilities

·       Build and maintain out of standards data models to report disparate data sets in a reliable, consistent and interpretable manner.

·       Gather, distil and harmonize data requirements and to design coherent Conceptual, logical and physical data models and associated physical feed formats to support these data flows.

·       Articulate business requirements and build source-to-target mappings having complex ETL transformation.

·       Write complex SQL statements and profile source data to validate data transformations.

·       Contribute to requirement analysis and database design - Transactional and Dimensional data modelling. Normalize/ De-normalize data structures, introduce hierarchies and inheritance wherever required in existing/ new data models.

·       Develop and implement data warehouse projects independently.

·       Work with data consumers and data suppliers to understand detailed requirements, and to propose standardized data models.

·       Contribute to improving the Data Management data models.

·       Be an influencer to present and facilitate discussions to understand business requirements and develop dimension data models based on these capabilities and industry best practices.

Requirements

·       Extensive practical experience in Information Technology and software development projects of with at least 8+ years of experience in designing Operational data store & data warehouse.

·       Extensive experience in any of Data Modelling tools – Erwin/ SAP power designer.

·       Strong understanding of ETL and data warehouse concepts processes and best practices.

·       Proficient in Data Modelling including conceptual, logical and physical data modelling for both OLTP and OLAP.

·       Ability to write complex SQL for data transformations and data profiling in source and target systems

·       Basic understanding of SQL vs NoSQL databases.

·       Possess a combination of solid business knowledge and technical expertise with strong communication skills. Demonstrate excellent analytical and logical thinking.

·       Good verbal & written communication skills and Ability to work independently as well as in a team environment providing structure in ambiguous situation.

Good to have

·       Understanding of Insurance Domain

·       Basic understanding of AWS cloud

·       Good understanding of Master Data Management, Data Quality and Data Governance.

·       Basic understanding of data visualization tools like SAS VA, Tableau

·       Good understanding of implementing & architecting data solutions using  the informatica, SQL server/Oracle