Enterprise Data Warehouse - New York, NY (Onsite)

Skills Exp you have 84 months Data Modeling experience in designing and creating DataMart, Data warehouse using Star & Snowflake Schemas in Insurance industry 84 months experience with designing and implementing ML, Predictive and AI systems

84 months experience with Spotfire Analyst, Web Player using Iron Python, Python, Java Scripts, and R 84-month experience in developing, documenting, maintaining end to end ETL data pipeline using IBI Data Migrator (or similar tools) 24 months experience in developing data warehouse in Workers' Compensation Insurance industry (Medical Billing, Claims, DBL, PFL, Underwriting, Premium and payroll) 36 months experience in Graph Database (Neo4j, Cypher, GDS) 84 months experience in Oracle PL/SQL development, including triggers, stored procedures, packages, and advanced query optimization, database design and implementation

48 months experience in implementing data governance programs including solid knowledge of (data management, data quality, and data lineage ) Bachelor's Degree in Computer Science Master Degree in Computer Science or Data Science

Responsibilities

Continue the effort of building client Enterprise Data Warehouse (on-premise), consolidating and retiring multiple legacy Data marts with the goal of eliminating unnecessary duplication, establish single source of truth, , improve data quality, increase efficiency in BI team and reduce maintenance cost

The hired consultant will focus on creating dashboard to facilitate claims/underwriting insight and decision making

Consultant also will develop predictions models in R/Python, and operationalizing prediction models created by data scientists' team, implementing enterprise data catalog, full data lineage, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting into client Enterprise Data Warehouse

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More job highlights

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Brandon Consulting, is seeking the following. Apply via Dice today!

Continue the effort of building client Enterprise Data Warehouse (on-premise), consolidating and retiring multiple legacy Data marts with the goal of eliminating unnecessary duplication, establish single source of truth, , improve data quality, increase efficiency in BI team and reduce maintenance cost. The hired consultant will focus on creating dashboard to facilitate claims/underwriting insight and decision making. Consultant also will develop predictions models in R/Python, and operationalizing prediction models created by data scientists' team, implementing enterprise data catalog, full data lineage, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting into client Enterprise Data Warehouse. The consultant will assist in recommending DataMart and Data warehouse, and Data Governance best practices and procedures. Design graph data models for the purpose of developing fraud detection predictive models using Neo4j. 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 (on-premise).

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.

• BI Dashboards and reports. (R, Python)

Develop and maintain Spotfire systems (including prediction models written in R/Python, 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 client'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 Data Migrator.

Build knowledge graph using Neo4j, Cypher, GDS

Skill matrix:

Skills Exp you have 84 months Data Modeling experience in designing and creating DataMart, Data warehouse using Star & Snowflake Schemas in Insurance industry 84 months experience with designing and implementing ML, Predictive and AI systems. 84 months experience with Spotfire Analyst, Web Player using Iron Python, Python, Java Scripts, and R 84-month experience in developing, documenting, maintaining end to end ETL data pipeline using IBI Data Migrator (or similar tools) 24 months experience in developing data warehouse in Workers' Compensation Insurance industry (Medical Billing, Claims, DBL, PFL, Underwriting, Premium and payroll) 36 months experience in Graph Database (Neo4j, Cypher, GDS) 84 months experience in Oracle PL/SQL development, including triggers, stored procedures, packages, and advanced query optimization, database design and implementation. 48 months experience in implementing data governance programs including solid knowledge of (data management, data quality, and data lineage ) Bachelor's Degree in Computer Science Master Degree in Computer Science or Data Science