Data Modeling WR Python & TIBCO HBITS
Data Modeling WR Python & TIBCO HBITS
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Salary Not Disclosed
1 Vacancy
Job Description
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84 months Data Modeling experience in designing underwriting claims DataMarts Data warehouse in Insurance industry (Workers Compensation and disability)
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84 months experience with developing maintaining predictive systems written R or Python using TIBCO Spotfire/TERR.
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84 months experience with TIBCO Spotfire Analyst Web Player and Business Authors using Iron Python R and Java Scripts
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84 months experience in developing documenting maintaining end-to-end ETL data pipeline (Information Builder International IBI Data Migrator aka TIBCO Data Migrator).
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84 months experience in Oracle PL/SQL and MS-SQL T-SQL development including triggers stored procedures packages and advanced query optimization database design and implementation.
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84 months experience in Agile/scrum project management methodology.
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60 months experience in automated testing build and deployment tools (TFS PowerShell and Visual Build Pro)
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84 months experience in development tools such as: VS Code Visual Studio Code Visual Studio Git Azure and TFS
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48 month experience in graph database GDS neo4j and cypher
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Bachelors Degree
Agency: New York State Insurance Fund (NYSIF)
Detailed Job Description: Continue the effort of building NYSIF Enterprise Data Warehouse consolidating/retiring multiple existing legacy Data marts with the goal of eliminating unnecessary duplications and establishing a single source of truth to increase efficiency in BI team and reduce maintenance costs. The hired consultant will focus on creating a dashboard to facilitate claims/underwriting predictions. The consultant will be responsible for operationalizing prediction models created by data scientists implementing data lake and will also help with integrating financial transactions cash flows external auditors requests and accounting reporting into NYSIF Enterprise Data Warehouse. The consultant will assist in evaluating recommending and implementing AI solutions knowledge graph data governance and data management solutionsEmployment Type
Full-time
