Software Architect (DataMart, Data warehouse, Star & Snowflake Schemas, ML, Predictive, TIBCO) - MVP Consulting

HBITS-06-13685

The duties of the consulting resource

• Provide recommendations, guidance, and actual implementation for new data marts, as well as improving and consolidating existing Data marts.
• Participate and contribute to data warehouse projects throughout the project lifecycle.
• Establish written best practices, procedures and generally provide guidance on data modeling design
• Create and maintain up-to-date documentation for all supported DW/DM, ETL...
• Plan, create, modify, maintain, test and implement code in support of any of the following: Source System extraction processes for the Data Warehouse, ETL processes and BI Dashboards and reports. (R, Python)
• Develop and maintain Spotfire systems (including prediction models written in R, TERR and automation services)
• Automation of source system data extraction processes and data loading of the Data Warehouse.
• Operationalize prediction models
• The consultant will adhere to NYSIF's application development standards, including, but not limited to, project management methodology, SDLC (software development life cycle), Enterprise Architecture standards and the IT governance process. Support the BI Data Warehouse using TIBCO Spotfire, IBI/Tibco Data Migrator

Software Architect
Makes high-level design choices and dictates technical standards, including software coding standards, tools, and platforms. Designs multi-leveled architecture or component interactions of a large scale software system.
Expert 84+ months: Candidate is able to provide guidance to large teams and/or has extensive industry experience and is considered at the top of his/her field.

1. 84 months Data Modeling experience in designing and creating DataMart, Data warehouse using Star & Snowflake Schemas in Insurance industry
2. 84 months experience with designing and implementing Client, Predictive and AI systems.
3. 84 months experience with TIBCO Spotfire Analyst, Web Player using Iron Python, Java Scripts, and R
4. 84 months experience in developing, documenting, maintaining end to end ETL data pipeline using IBI Data Migrator (or similar tools)
5. 24 months experience in developing data warehouse in Workers' Compensation Insurance industry (Medical Billing, Claims, DBL, PFL, Underwriting, Premium and payroll)
6. 84 months experience in Oracle PL/SQL development, including triggers, stored procedures, packages, and advanced query optimization, database design and implementation.
7. 48 months experience in implementing data governance programs including solid knowledge of (data management, data quality, and data lineage )
8. Bachelor's Degree in Computer Science
9. Master Degree in Computer Science or Data Science