Market Data developer --.NET -- Hybrid in NYC

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

market data
ice
bloomberg
.net
sql
azure
adf

Job Details

One of the hedgefund clients in NYC is looking for a Market Data developer .

NYC , Midtown location

3 days onsite work , hybrid role

.net developer -- Market Data Developer

Summary

This role focuses on developing and maintaining a comprehensive Master Data Management (MDM) solution to accommodate reference and market data, across the capital structure, asset classes (tangible and securitized), and markets (public and private). The ideal candidate will have experience engineering an (MDM) solution in a relational programming language environment, sourcing data content in varied formats from both conventional and unconventional reference points, and intersecting large structured and unstructured data sets - often with complex embedded relationships. The candidate will also have excellent problem-solving skills, and the ability to work independently and collaboratively within a dynamic team environment.

Design & Development:

  • Build and maintain market data applications / API s using .NET / Python
  • Develop an end-to-end (MDM) solution, from connection to source, to ingestion, normalization to a canonical model, relationship building, key allocation - through mastering and product management
  • Develop and maintain complex T-SQL queries and stored procedures for data manipulation and reporting

Data Pipeline & ETL Processes:

  • Implement efficient ETL processes to transform and load market data into databases or data warehouses
  • Automate data cleaning, transformation, and validation tasks to ensure high-quality data
  • Utilize Azure Data Factory (ADF) and Databricks to create scalable data ingestion processes.

Data Integration & Storage:

  • Integrate disparate data sources into a unified system
  • Design data storage solutions (relational or NoSQL databases) to support real-time and historical analysis

Monitoring & Support:

  • Develop and maintain monitoring tools to track data feed quality and system health
  • Provide production support and resolve issues as they arise, ensuring minimal disruption to trading activities

Cloud Experience:

  • Implement and integrate Azure Cloud services for efficient data handling and processing
  • Deploy applications and services to the Azure Cloud, ensuring scalability and reliability

Required Skills:

  • Bachelor's degree in computer science, Engineering, or a related field (or equivalent professional experience).
  • Preferably experience in engineering at a Financial Data Aggregator or Securities Exchange (Bloomberg, ICE, LSE, SIX, Deutsche Borse, etc.)
  • 6+ years of practical work experience involving system architecture, software application and message and data transfer and processing.
  • Strong experience in .NET Core with hands-on development of scalable web applications using C#.
  • Ingest data from multiple REST APIs, Build and maintain libraries to scale API development.
  • Proficiency with SQL for writing efficient queries, interacting with databases, and optimizing performance.
  • Experience working with RESTful APIs and integrating systems with APIs.
  • Familiarity with cloud platforms like Azure or AWS and cloud-based deployment and scaling practices.
  • Exposure to CI/CD tools such Azure DevOps.
  • Implement, maintain and update CI/CD pipelines on a cloud environment.
  • Experience with data feeds and data modeling - BBG, Intex, S&P, Markit, Greenstreet, MSCI, FpML
  • Excel expertise, Data Lakes and warehousing, Sql Server, Databricks

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.