Senior Developer - Python Oracle - Vichara

Vichara is a Financial Services focused products and services firm headquartered in NY and building systems for some of the largest i-banks and hedge funds in the world.

Short description of the position:
Continue the effort of building NYSIF Enterprise Data Warehouse, 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 dashboards 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 NYSIF 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
Daily Tasks:
This individual will participate and guide development efforts in the following activities:
• Provide recommendations, guidance, and actual implementation for new data marts, as well as improving
and consolidating existing Data marts.
• Participate and contribute to DW/BI projects throughout the project lifecycle.
• Establish written best practices, procedures and generally provide guidance on DW/DM data model
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: oSource
System extraction processes for the Data Warehouse. oETL processes. oBI 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

Item Qualification Yes / No
Actual # of
Qual.
Months
1
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.
2
84-months Data Modeling experience in designing and
creating DataMart, Data warehouse using Star & Snowflake
Schemas in Insurance industry
3 84-months experience with developing maintaining predictive
systems written in R, or Python
4 84-months experience with TIBCO Spotfire Analyst, Web Player
using Iron Python, Java Scripts, and R
5 84-months experience in developing, documenting, maintaining end
to end ETL data pipeline using IBI Data Migrator (or similar tools)
6
24-months experience in developing data warehouse in Workers’
Compensation Insurance industry (Medical Billing, Claims, DBL, PFL,
Underwriting, Premium and payroll)
7
84-months experience in Oracle PL/SQL development,
including triggers, stored procedures, packages, and
advanced query optimization, database design and
implementation.
8 24-month experience using graph database, neo4j data
science library, developing fraud detection solutions
9 48-months experience in data management, data
governance, data quality, data lineage tools
10 Bachelor’s Degree in Computer Science
11 Masters Degree in Computer Science or Data Science

Compensation -   $65-$70/h