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Senior Azure Data Engineer (Databricks & Fixed Income) #3570436
New York City, NY
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Be Part Of A High-Performing Team:

Join a globally recognized financial services organization known for its strong presence in capital markets and investment banking. The team operates within a strategic technology group focused on delivering advanced data solutions that support trading, analytics, and market operations. This environment brings together highly skilled engineers, data specialists, and business stakeholders working in a fast-paced, collaborative setting. The group is actively enhancing data pipelines, real-time processing capabilities, and analytics platforms to support complex financial products and trading workflows.

What's In Store For You:

  • Engagement: W2 only (no C2C/1099)
  • Opportunity to work on cutting-edge data engineering initiatives within capital markets
  • Exposure to high-impact trading and market data systems
  • Long-term engagement with potential for extension

How You Will Make An Impact:

  • Design, build, and optimize scalable data pipelines using Azure and Databricks
  • Develop and maintain data workflows leveraging Azure Data Factory (ADF)
  • Integrate streaming and batch data sources, including Kafka and Delta Share
  • Support data analysis and transformation using Python and SQL
  • Collaborate with cross-functional teams to align data solutions with business needs
  • Ensure secure and efficient data storage using Azure Blob Storage and Key Vault
  • Contribute to automation and scheduling processes using Autosys/JIL
  • Drive improvements in data reliability, performance, and accessibility

Are you a proven data engineering expert in cloud-based financial systems?

  • 10+ years of experience in data engineering or related roles
  • Strong expertise with Azure ecosystem, including ADF, Blob Storage, and Key Vault
  • Hands-on experience with Databricks, including Delta Share and Kafka integration
  • Proficiency in Python and SQL for data processing and analysis
  • Experience with job scheduling tools such as Autosys/JIL
  • Solid understanding of data pipeline architecture and optimization
  • Familiarity with Fixed Income products (e.g., US Treasuries, Futures, market liquidity data)
  • Ability to collaborate across technical and business teams effectively
  • Strong communication and problem-solving skills
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