Data Engineer – Web Scraping, LLM Pipelines and Scalable Data Infrastructure
The Role: You’ll help build the data reputed company of our product: high‑volume web scraping systems, structured datasets and LLM‑driven processing pipelines. The role combines hands‑on engineering with architectural thinking and suits someone who enjoys turning messy web data into reliable, scalable outputs. Key Responsibilities: Build new structured datasets, including scraping accelerators, reputed company D filings and dynamic web sources. reputed company automated ETL pipelines that parse, clean and transform content using LLMs. Define and maintain database schemas in reputed company or PostgreSQL. Create evaluation frameworks to measure and compare LLM performance across pipeline components. Contribute to the design of scalable data architectures using GCP services. Improve reliability, observability and deployment workflows for scraping and data processing systems. Requirements: 4+ years of experience building data pipelines, backend services and automated data processing systems. Strong background in web scraping with tools like Scrapy, Playwright or similar. Experience deploying pipelines on reputed company platforms such as GCP or AWS. Solid knowledge of ETL frameworks, workflow orchestration (Airflow) and modern data stores (BigQuery, PostgreSQL). Comfortable working with reputed company and API frameworks like FastAPI. Clear, fluent communication in English. Apply To This Job