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Enterprise Data Modeler

2 weeks ago

Taguig, National Capital Region, Philippines Cognizant Full time

Cognizant is looking for an Enterprise Data Modeler to join our team in Taguig, Philippines.

Job Summary

The Enterprise Data Modeler will design and implement new data structures to support project teams delivering on ETL, data warehouse design, managing the enterprise data model, maintaining the data, and enterprise data integration approaches.

  • Design and implement complex data structures to support business requirements.
  • Develop and maintain standardized data models to report disparate data sets in a reliable, consistent, and interpretable manner.
  • Gather, distill, and harmonize data requirements and 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.
  • Write complex SQL statements and profile source data to validate data transformations.
  • Contribute to requirement analysis and database design - transactional and dimensional data modelling.
  • Develop and implement data warehouse projects independently.
  • Work with data consumers and data suppliers to understand detailed requirements, and propose standardized data models.
Key Responsibilities

The Enterprise Data Modeler will be responsible for:

  • Designing and implementing complex data structures.
  • Developing and maintaining standardized data models.
  • Gathering, distilling, and harmonizing data requirements.
  • Designing coherent conceptual, logical, and physical data models.
  • Building source-to-target mappings.
  • Writing complex SQL statements.
  • Validating data transformations.
Requirements

To be successful as an Enterprise Data Modeler, you should possess:

  • Bachelor's or Master's degree in Computer Science or any related field.
  • 8+ years of relevant experience in data modeling.
  • 5+ years of experience in designing operational data store & data warehouse.
  • Extensive experience in any of data modeling tools – Erwin/SAP Power Designer.
  • Strong understanding of ETL and data warehouse concepts processes and best practices.
  • Proficient in data modeling including conceptual, logical, and physical data modeling 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 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 Informatica, SQL Server/Oracle.
  • Amenable to work on a day shift schedule (8:00 AM to 5:00 PM or 9:00 AM to 6:00 PM).
  • Amenable to work in the office at least 2-3x a week.