Technical Lead – Web Crawling Systems, Data Pipelines

5 days ago

Delhi, India AIMLEAP Full time

Experience: 7 to 12 Years Location: Remote / Bangalore Engagement: Full-time Positions: 2 Qualification: B.E / B.Tech / M.Tech / MCA / Computer Science / IT Industry: IT / Data / AI / E-commerce / FinTech / Healthcare Notice Period: Immediate What We Are Looking For - Proven experience leading data engineering teams with strong ownership of web crawling systems and pipeline architecture. - Expertise in designing, building, and optimizing scalable data pipelines, preferably using workflow orchestration tools such as Airflow or Celery. - Hands-on proficiency in Python and SQL for data extraction, transformation, processing, and storage. - Experience working with cloud platforms such as AWS, GCP, or Azure for data infrastructure, deployments, and pipeline operations. - Deep understanding of web crawling frameworks, proxy rotation, anti-bot strategies, session handling, and compliance with global data collection standards (GDPR/CCPA-safe crawling). - Strong expertise in AI-driven automation, including integrating AI agents or frameworks like Crawl4ai into scraping, validation, and pipeline workflows.. Responsibilities - Lead and mentor data engineering and web crawling teams, ensuring high-quality delivery and adherence to best practices. - Architect, implement, and optimize scalable data pipelines that support high-volume data ingestion, transformation, and storage. - Build and maintain robust crawling systems using modern frameworks, handling IP rotation, throttling, and dynamic content extraction. - Establish pipeline orchestration using Airflow, Celery, or similar distributed processing technologies. - Define and enforce data quality, validation, and security measures across all data flows and pipelines. - Collaborate with product, engineering, and analytics teams to translate data requirements into scalable technical solutions. - Develop monitoring, logging, and performance metrics to ensure high availability and reliability of data systems. - Oversee cloud-based deployments, cost optimization, and infrastructure improvements on AWS/GCP/Azure. - Integrate AI agents or LLM-based automation for tasks such as error resolution, data validation, enrichment, and adaptive crawling Qualifications - Bachelor's or master's degree in engineering, Computer Science, or related field. - 7–12 years of relevant experience in data engineering, pipeline design, or large-scale web crawling systems. - Strong expertise in Python, SQL, and modern data processing practices. - Experience working with Airflow, Celery, or similar workflow automation tools. - Solid understanding of proxy systems, anti-bot techniques, and scalable crawler architecture. - Hands-on experience with cloud data platforms (AWS/GCP/Azure). - Experience with AI/LLM frameworks (Crawl4ai, LangChain, LlamaIndex, AutoGen, OpenAI, or similar). - Strong analytical, architectural, and leadership skills.

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