
Senior Data Modeler
- Gurgaon, Haryana
- Permanent
- Full-time
- 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.
- 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.
- 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