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Software Engineer, Advisory Data Organization (ADO)
3 years ago

**Business Title:** Software Engineer, Advisory Data Organization (ADO)


**Requisition Number:** 85000 - 66


**Function:** Advisory


**Area of Interest:**


**State:** NY


**City:** New York


**Description:**

The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.


KPMG is currently seeking a Senior Associate Software Engineer to join our Advisory Data Organization.


Responsibilities:


+ Work on cross functional team to deliver reusable Data Science assets to Advisory teams for client solutions

+ Develop and maintain data pipelines that combine data from multiple sources, runs a model and delivers data to a location for use by other applications

+ Perform code reviews of programs/applications submitted by other members of the Signals Repository team

+ Manages the ingestion, onboarding and maintenance of data assets and reusable data-driven solutions within the Signals Repository to enable our client-facing professionals with Data Science accelerators for enhanced client delivery

+ Design and develop new functionality for the Signals Repository platform

+ Conduct data design, API design and application component architecture


Qualifications:


+ Minimum three years of recent experience developing data pipelines using Python and in developing RESTful APIs using Python frameworks such at Django/Flask/FastAPI; minimum two years of experience working w/ cloud environments such as AWS, Azure and/or GCP; minimum three year of experience working with Unix/Linux systems including basic commands and shell scripting

+ Bachelor's degree or higher from an accredited college/university in Computer Science, Mathematics, Computer Engineering, Statistics or a similar field

+ Strong written and verbal communication skills; strong programming experience using Python

+ Experience using Git; experience with frontend JavaScript frameworks such as React/Angular/Vue is a plus

+ Ability to travel up to 10% as required to support firm engagement

+ Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future


KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link (https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf) contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.


KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).


**GL:** 5


**GF:** 15304

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