
Data Engineer
1 day ago
Role: 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.
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