Innovative Data Solutions Developer
6 days ago
We are seeking an entrepreneurial, passionate and driven individual to shape our technology vision, architecture and engineering culture from the ground up.
This role is ideal for someone eager to own the entire tech stack, who thrives on early-stage challenges, and loves building innovative, scalable solutions from day zero.
Key Responsibilities- Data Extraction: Build and maintain automated systems to extract structured and unstructured data from websites, APIs and public datasets.
- Data Processing: Develop multi-threaded, distributed systems capable of handling high-volume data collection without interruptions.
- Data Normalization: Normalize extracted data, remove noise, and ensure consistency before passing to data pipelines.
- Traffic Management: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Pipeline Integration: Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- Data Quality Control: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- System Maintenance: Keep systems updated when data sources change, and document extraction logic for reproducibility.
- Data Quality Control: Ensure data accuracy, deduplicate records, and maintain a trust scoring system for data confidence.
- Pipeline Integration: Deliver clean, structured datasets into NoSQL stores and ETL pipelines for further enrichment and graph-based storage.
- Traffic Management: Implement proxy rotation, captcha solving, and request throttling techniques to handle scraping restrictions.
- Data Normalization: Normalize extracted data, remove noise, and ensure consistency before passing to data pipelines.
- Data Processing: Develop multi-threaded, distributed systems capable of handling high-volume data collection without interruptions.
Technical Skills:
- 2+ years of experience in web scraping, crawling, or data collection.
- Strong proficiency in Python (libraries like BeautifulSoup, Scrapy, Selenium, Playwright, Requests).
- Familiarity with NoSQL databases (MongoDB, DynamoDB) and data serialization formats (JSON, CSV, Parquet).
- Experience in handling large-scale scraping with proxy management and rate-limiting.
- Basic knowledge of ETL processes and integration with data pipelines.
- Exposure to graph databases (Neo4j) is a plus.
Soft Skills:
- Detail-oriented, ensuring accuracy and reliability of collected data.
- Strong problem-solving skills, particularly in adapting systems to evolving data structures.
- Curious mindset with a drive to discover new data sources.
- Comfortable working in a fast-paced environment.
We value transparency, collaboration, and individual ownership, creating an environment where talented people can do their best work.
- We're deeply committed to solving real challenges that genuinely matter.
- We encourage autonomy and accountability—own your projects, move quickly, and shape the future.
- Cross-team collaboration ensures alignment, sparks innovation, and drives us forward together.
- We continuously improve, experiment, and learn.
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