Responsibilities:

• Define both (1) an organizational strategy for building and managing the key data assets; (2) operating model of how these key data assets will be maintained and used by its producers and subscribers.

• Provide leadership in the process to organize the data into structures that will be best suited to support the analytical requirements.
• Understand all the sources and uses of the master data and define a structure that can be used as a one stop shop for its use across the enterprise.
• Design data warehouse structures, data marts, operational data stores and other analytical structures.
• Develop methodologies for data lake design depending on entity type, volume and usage

• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Prepare accurate database design and architecture reports for management and executive teams.
• Analyze information flow and recommend appropriate technology to provide support to all business processes.

Skills and Qualifications:

• Minimum of 7 years’ experience in development of data warehouse, decision support, or executive information systems.
• Experience with INFA ETL toolset is preferred
• Experience in Solution area Risk Orchestration and Automation
• Must have good understanding of Dimensional Modeling and ER-Modeling. A knowledge of cubes, ROLAP, MOLAP is required.
• Must have experience with building data lakes on Hadoop ecosystem
• Must have functioned as the lead data modeler on at least 2 full lifecycle DW engagements/projects
• Extensive knowledge of/experience with data integration, data quality, multi-dimensional design and ETL tools, processes and methodology
• Excellent communication skills with the ability to facilitate interaction between client's management / user community and Daman's technical team
• Bachelor’s Degree or foreign equivalent in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering is required