
Senior Data Extractor
2 weeks ago
We are seeking a seasoned Data Engineer - Extraction to join our team. As a key member of our data operations, you will be responsible for designing and implementing efficient data extraction pipelines using machine learning models.
- Main Responsibilities:
- Extract relevant information from unstructured/semi-structured documents using combination of LLMs, OCR, regex, and digitization tools.
- Analyze and validate extracted data to ensure accuracy and quality.
- Develop automated validation and anomaly detection checks to maintain high-quality data standards.
- Collaborate with cross-functional teams to integrate extracted data into structured formats (CSV, SQL, JSON).
- Maintain documentation of workflows and reusable extraction modules for scalability across multiple datasets.
- Proven experience in Python programming with expertise in data parsing and extraction libraries.
- Familiarity with LLM-based extraction/mapping pipelines and regex, OCR tools, and digitization software.
- Ability to handle complex messy/unstructured data and develop scalable solutions.
- Strong understanding of relational databases and structured data management.
- Excellent problem-solving skills and attention to detail.
- A dynamic work environment with opportunities for growth and development.
- Competitive salary and benefits package.
- Collaborative team culture with open communication channels.
The ideal candidate will have a strong background in data engineering and excellent problem-solving skills. If you are passionate about working with data and enjoy solving complex problems, we encourage you to apply for this exciting opportunity.
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