Python Developer

Job Details:

We are seeking a Senior Python Developer with ideally Music Royalties experience to join our team of dedicated professionals.

Location: This position can be based out of New York City, White Plains (NY), Nashville (TN), Wilmington (DE), Boston (MA), or potentially elsewhere on the East Coast.

Overview of Role: The Senior Python Developer is responsible for assisting the Firm’s music data team with taking complex data issues facing the business and simplifying them.

Responsibilities:

Assist the Royalty Group in managing, storing, and accessing large volumes of music data obtained from record companies, music publishers, PROs, and DSPs in connection with their engagements.
Design, Develop, and Implement processes that intake multiple file types (Excel, Text, JSON, HTML, etc.) through ETL processes to store in existing SQL Server instances.
Integrate and include standard data wrangling processes into data ingestion.
Cloud Development and Integration for existing and future processes
Develop and utilize logging, audit monitoring, and code validation processes to measure efficiency, profitability, and resource optimization.
Develop automated processes to increase efficiency in ingesting, consolidating, normalizing, and analysing data.
Integrate API functionality and data from 3rd party providers to include website and back-end processes; Advanced knowledge of website functionality and JSON format(s) is necessary.
Act as liaison between Royalty Group and IT department to assess software, database, and programming options available and to assist in related change management, implementation, and training.
Recommend and build new data platforms/solutions as required to meet and/or exceed business requirements.
Own algorithm development projects from start-to-end: design, development, Quality Assurance (QA), deployment, experiment, analysis.
Set up and manage datarooms for clients and other third parties.
Act as a resource to the Royalty Group to solve complex data problems and share complex ideas verbally and visually in an understandable manner with team members.
Other projects and duties, as assigned.

A successful candidate will possess the following qualifications:

Bachelor’s degree in information technology, Computer Science, Statistics, Engineering, Mathematics, Economics, Business Analytics, Data Science, Accounting or a related field is required.
7+ years of previous work experience with managing large datasets and programming.
7 years experience in full SDLC methodologies and implementation methods; testing experience is a plus.
In-depth experience in Extract, Transformation, and Load techniques.
Expert knowledge and experience with object-oriented methodology, development, and toolsets.
Expert-level knowledge in Python, specifically Pandas, ORM, sql alchemy, OS, logging, urllib, Numpy, and Matplotlib packages; Familiarity and experience in Beautiful Soup, SciPy, and Scikit-learn would be very helpful but not required.
Solid and demonstrated experience working with data analytic tools, specifically PowerBI and Tableau; Other tool exposure and experience is a plus.
Expert-level knowledge of Microsoft Excel tools, including Macros, Pivot Tables, and formulas (such as VLOOKUP and SUMIF); Power Pivot and Power Query is a plus.
Expert fluency in SQL-based data manipulation; This role will work with an array of disparate data sources so experience writing efficient, performance-optimized queries is required and Microsoft SQL Server experience is necessary.
Advanced experience in multi-tier Architecture and associated technologies.
Advanced knowledge in database design, loading, and schema construction to include performance, audit, and checksum processes.
Expert working knowledge in IDEs; Visual Studio Code experience is a must.
Understanding of complex and advanced mathematical and accounting principles.
Solid interpersonal skills and other key soft skills (i.e., communication, time management, emotional intelligence, adaptability, active listening, critical thinking, etc.)
Ability to communicate with both technical and non-technical teams to understand and define problems, and to articulate proposed solutions.
Discretion and confidentiality with regards to sensitive financial transactions is a must
Strong soft skills including attention to detail, excellent verbal, and written communication, team-oriented, and self-motivated.