The Consultant shall work with client staff from the Data Analytics & First New York units within client Division of the Chief Information Officer (the "Division"). The Consultant shall assist the Division with the build-out of the current CLIENT environment for both infrastructure and tools as they relate to data analytics and the necessary supporting technologies, such as data warehousing, business intelligence, statistical analysis, and data exchanges with external agencies/entities. Tasks include: Reviewing and analyzing existing data analytics ETL processes as well as external sources in order to design and architect a system communicating this information to Division staff and other CLIENT staff as necessary; Assisting with the implementation of data analytics architecture design to accept structured and unstructured datasets as they are acquired through the Division;
MINIMUM QUALIFICATIONS
The Consultant must possess the following minimum qualifications. The proposed candidate must have:
1. either a) a bachelor of science degree, or equivalent four-year degree, in computer science or related information technology field or b) a masters or doctorate in computer science or related information technology field;
2. a minimum of four years of experience developing and maintaining a data interchange system interfacing with a wide array of varying data sets including flat file, direct database connection, and eXtensible Markup Language transactions;
3. a minimum of four years of experience working with ETL tools (e.g., Qlik and Informatica);
4. a minimum of four years of experience performing data modeling;
5. a minimum of four years of experience developing a data analytics ETL environment to support data analytics; and
6. a minimum of four years of experience coding in Structured Query Language ("SQL").
PREFERRED QUALIFICATIONS
CLIENT will give preference to candidates with the following qualifications:
1. experience scripting in Python;
2. experience in Tableau Server Administration;
3. experience working with customers in data validation, troubleshooting, or collecting business requirements;
4. two or more satisfactorily completed statistics courses from an accredited college or one or more year of professional experience using statistics;
5. experience performing database development using SQL or Procedural Language/Structured Query Language ("PL/SQL");
6. experience developing a data analytics ETL environment to support Tableau visualizations; and
7. experience using ETL techniques to support a data analytics program for a government entity.
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