Posted:6 days ago|
Platform:
On-site
Full Time
- 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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