Data Engineer - ETL/Python

About the job :

- Data Engineer for financial datasets in a quant research & trading environment.

Key Responsibilities :

- Build Python-driven data ingestion pipelines from market & internal sources.

- Ensure data quality with automated validation & anomaly detection.

- Manage data vendors, optimize costs, & expand data pipeline.

- Collaborate with quants & engineers for seamless data access.

Requirements :

- Bachelor's/Master's in CS/Engineering/Data Science (Tier 1 colleges).

- 1-2 years in data engineering/software/Python.

- Strong Python (numpy, pandas), Git, financial data understanding

This position offers a unique opportunity to work at the intersection of data engineering, quantitative finance, and high-performance computing.

Key Responsibilities :

- Data Pipeline Development: Design, build, and maintain robust, scalable, and fault-tolerant data ingestion pipelines written primarily in Python to process high-volume, real-time, and historical data from various market data providers (e.g., exchanges, vendors) and internal trading systems.

- Data Quality Assurance: Implement and manage automated data validation, cleansing, and anomaly detection frameworks to ensure the highest level of data quality and integrity across all datasets used for research and production trading.