Job Details:

Role: Senior Data Engineer (Fixed Income / Capital Markets)

Location: New York City, NY /Hybrid 3 days a week from office

Employment Type: W2 Contract

Job Description:

·       Lead the development and optimization of batch and real-time data pipelines, ensuring scalability, reliability, and performance.

·       Architect, design, and deploy data integration, streaming, and analytics solutions leveraging Spark, Kafka, and Snowflake.

·       Ability to help voluntarily and proactively, and support Team Members, Peers to deliver their tasks to ensure End-to-end delivery.

·       Evaluates technical performance challenges and recommend tuning solutions.

·       Hands-on knowledge of Data Service Engineer to design, develop, and maintain our Reference Data System utilizing modern data technologies including Kafka, Snowflake, and Python.  

Required Skills:

• Proven experience in building and maintaining data pipelines, especially using Kafka, Snowflake, and Python.
• Strong expertise in distributed data processing and streaming architectures.
• Experience with Snowflake data warehouse platform: data loading, performance tuning, and management.
• Proficiency in Python scripting and programming for data manipulation and automation.
• Familiarity with Kafka ecosystem (Confluent, Kafka Connect, Kafka Streams).
• Knowledge of SQL, data modeling, and ETL/ELT processes.
• Understanding of cloud platforms (AWS, Azure, GCP) is a plus.

Domain Knowledge in any of the below area:

• Trade Processing, Settlement, Reconciliation, and related back/middle-office functions within financial markets (Equities, Fixed Income, Derivatives, FX, etc.).
• Strong understanding of trade lifecycle events, order types, allocation rules, and settlement processes.
• Funding Support, Planning & Analysis, Regulatory reporting & Compliance.
• Knowledge of regulatory standards (such as Dodd-Frank, EMIR, MiFID II) related to trade reporting and lifecycle management.

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