Purpose: Bridge data processing and model experimentation. Key Responsibilities:
- Prepare, clean, and transform training datasets
- Perform EDA and feature engineering
- Support model experimentation and evaluation
- Build and maintain data pipelines
- Ensure data quality, consistency, and governance
Key Skills:
- Python, SQL
- Data processing tools (Pandas, Spark)
- Basic ML understanding
- Data pipeline tools (Airflow, etc.)
- Robust analytical thinking
📌 Data Engineer (Hyderabad)
🏢 Techouts
📍 Hyderabad
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