 
						Data Engineer
2 weeks ago
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 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. (ref:hirist.tech)
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