Overview
Hybrid
$100,000 - $120,000
Full Time
Skills
data modeling
capital markets data
equities
fixed income
derivatives
AWS
Azure
Job Details
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.
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.