Senior Data Engineer — Cloud Data Lake, Low-Latency ETL

The Hagen Ricci Group; New York (NY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

An established industry player seeks a Senior Data Engineer to join their innovative team. In this pivotal role, you will develop and maintain scalable Python-based ETL pipelines, design high-performance database schemas, and build cloud data lake solutions using AWS and Databricks. Collaborating closely with portfolio managers and quantitative researchers, you'll tailor data solutions that drive trading insights and risk management. This position offers the opportunity to work in a dynamic environment where your contributions will significantly impact the firm's data infrastructure and analytics capabilities.

Qualifications

• Experience with Python and ETL processes for market data.
• Knowledge of AWS and Databricks for cloud data solutions.

Responsibilities

• Develop scalable Python-based ETL pipelines for market data.
• Design relational and NoSQL database schemas for analytics.
• Build cloud data lake solutions for structured and unstructured data.

Skills

Python

ETL Pipelines

AWS

Databricks

Data Quality

Data Analysis

Tools

NoSQL Databases

Relational Databases

Job description

An established industry player seeks a Senior Data Engineer to join their innovative team. In this pivotal role, you will develop and maintain scalable Python-based ETL pipelines, design high-performance database schemas, and build cloud data lake solutions using AWS and Databricks. Collaborating closely with portfolio managers and quantitative researchers, you'll tailor data solutions that drive trading insights and risk management. This position offers the opportunity to work in a dynamic environment where your contributions will significantly impact the firm's data infrastructure and analytics capabilities.