SCOPE OF SERVICES

OTI's Office of Data Analytics (ODA) works with City agencies and their data to help serve New Yorkers more equitably and effectively. This work takes three main forms: analyzing data to improve City agency operations; making Open Data more accessible to all New Yorkers; and advancing citywide data infrastructure, integration, and sharing.

TASKS:

Support ODA implement a new MDM Business Domain that will integrate multiple sources of data and accompanying web services and APIs.

Develop architectural blueprints that leverage the MDM as a foundational service of MyCity that will, among other things, support the creation of unified profiles that can be used for such activities as linking business transactions relevant to a business owner.

With guidance from ODA's Technical Leads, coordinate the work of senior-level data engineers tasked with building pipelines to the MDM and selected ODA data platforms.

Support the development of analytics tools that utilize the data pipeline to provide actionable insights into customer engagement and experience, operational efficiency, and other key business performance metrics;

Review Extraction, Transformation, Load strategies (ETL) for data from a wide variety of data sources using SQL, cloud, and 'big data' technologies;

Create, update, and maintain system documentation;

Manage the development of APIs, for data access or landing data as output for further downstream consumption in the appropriate target data store;

Coordinate appropriate security scan accreditations.

Perform special projects and initiatives as assigned.

MANDATORY SKILLS/EXPERIENCE

15 years managing the development and implementation of large technology projects with at least 3 years involving an MDM implementation.

10 years of experience in writing SQL;

8 years of experience in copying, transferring, manipulating, and automating data operations that were manual processes;

Experience with tools and components of data architecture such as Informatica Power Center, IICS, SSIS, or similar ETL tools;

Experience working with programming languages like Python, Java, and Perl

10 years hands-on experience in development with the suite of tools from Informatica PowerCenter and B2B Data Transformation;

Experience using Oracle 10g/11g, SQL Server and/or a database appliance;

Knowledge of metadata-driven enterprise reporting platforms;

Strong hands-on experience with a Master Data Management (MDM) implementation that serves a large enterprise.

Experience working with Amazon Web Services or Microsoft Azure cloud computing platform and services;

In-depth knowledge of SQL and other database solutions;

Knowledge of modeling database schemas for large datasets;

Experience developing cloud-ready applications;