VeeRteq Solutions LLC
Senior Data Engineer (Fixed Income/Capital Markets)
VeeRteq Solutions LLC, New York, New York, us, 10261
Job Title:
Senior Data Engineer (Fixed Income/Capital Markets)
Location:
New York, NY
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.
Help voluntarily and proactively, and support Team Members, Peers to deliver their tasks to ensure end‑to‑end delivery.
Evaluate technical performance challenges and recommend tuning solutions.
Hands‑on knowledge as 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
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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr
Senior Data Engineer (Fixed Income/Capital Markets)
Location:
New York, NY
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.
Help voluntarily and proactively, and support Team Members, Peers to deliver their tasks to ensure end‑to‑end delivery.
Evaluate technical performance challenges and recommend tuning solutions.
Hands‑on knowledge as 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
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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr