Data Engineer for Data Management

2 Days Old

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.
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.
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 GCP
Knowledge of data governance frameworks and metadata management.
Experience with Kafka, Spark, Airflow, or similar tools for data orchestration.
Qualifications
Bachelor's or Masters degree in Computer Science, Finance, or related field.
5 to 7 years of experience in data engineering, preferably in financial services.
Soft Skills
Strong analytical and problem-solving mindset.
Excellent communication with both technical and non-technical stakeholders.
Ability to thrive in a fast-paced, high-stakes trading environment.
Location:
Newark, NJ, United States
Category:
Computer And Mathematical Occupations

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