Overview
Skills
Job Details
Role - Data Integration Lead
Location : Onsite NJ
Skills : ETL Strong + Python
| Skills | Years of Experience | Rating ( Out of 5 ) |
| ETL |
|
|
| Python |
|
|
| SQL |
|
|
| Data Modelling |
|
|
| Capital Market |
|
|
| Equity |
|
|
| Fixed Income |
|
|
| Derivatives |
|
|
| Cloud (AWS or Azure) |
|
|
We're seeking a Data Engineer to support data management initiatives. This role involves building robust data pipelines, integrating market and trade data, and ensuring high-quality data delivery for trading, risk, and compliance functions.
Required Skills
Strong proficiency in Python, SQL, and data modeling.
Experience with capital markets data (e.g., equities, fixed income, derivatives).
Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Knowledge of data governance frameworks and metadata management.
Experience with Kafka, Spark, Airflow, or similar tools for data orchestration.
Key Responsibilities
Design and implement scalable data pipelines for market, reference, and transactional data.
Develop ETL processes to ingest data from trading platforms, market data providers, and internal systems.
Collaborate with trading desks, risk teams, and compliance to understand data requirements.
Ensure data integrity, lineage, and governance across systems.
Optimize data storage and retrieval for real-time and batch processing.
Support regulatory reporting and analytics through reliable data infrastructure.
Maintain documentation and contribute to data architecture decisions.