Data Scientist

Overview

On Site
Hybrid
Depends on Experience
Contract - W2

Skills

Data Scientist
Enterprise Data Warehouse
ETL
Data Science
Oracle
Sql Server
Informatica cloud
Amazon Web Services
Cloud Computing
Data Analysis
Data Cleansing
Data Flow
Data Management
Data Modeling
Data Profiling
Data Quality
Data Warehouse
IBM DB2

Job Details

Perform complex Data Scientist work. Analyze information in TWC s Enterprise Data Warehouse and design, develop, and test processes for the data warehouse. Develop and document processes to extract data from the data warehouse for accurate reporting. Conduct complex data analysis and visualization tasks along with gathering, determining data quality/profiles, data cleansing, and preparing data from various sources. Perform other analysis and documentation tasks as required to facilitate and support the Enterprise Data Warehouse. Define and document the technical architecture. Provide a written report of assessment methodology, findings, gap analysis, conclusions, and recommendations for a more robust method of reporting data. Communicate with the project stakeholders, management, and other relevant parties to discuss methodology, approach, and schedule. Perform other duties as assigned to maintain operations.

8

Design and develop Extraction, Transformation, Load (ETL) processes for enterprise data warehouse using Informatica; Deep hands-on expertise with Informatica ETL processes, development, data management, data profiling, data flows, data relationships, and data quality standards and processes

8

Hands-on experience with data warehouse development and testing (relational and dimensional) and proven evidence to implement using databases like Oracle, SQL Server etc. but preferably Oracle

8

Experience in Data Science

8

Hands on experience with data modeling preferably in a data warehouse environment

8

Experience with Informatica product suite in the Informatica cloud

8

Experience devising and utilizing algorithms and models to mine data; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy

3

Experience with detecting and providing solutions to addressing mismatched data in case management systems

5

More than one type of RDBMS (DB2, SQL Server, Oracle)

5

Erwin or other equivalent data modeling tools

3

Experience in Amazon Web Services

2

Experience with detecting and providing solutions to addressing mismatched data in case management systems

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