Lead Web Scraping Engineer

Solytics Infotech; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Solytics Partners is seeking an experienced Data Engineering & Automation Lead in Pune, India. The ideal candidate will design and optimize data pipelines using Apache Airflow and Spark, lead web scraping initiatives, and integrate AI/NLP solutions for intelligent data extraction and analytics. This role requires expertise in large-scale data processing, automation, and team management. Solytics is known for innovation in analytics and compliance solutions.

Qualifications

• Strong understanding of Large Language Models (LLMs) and Generative AI.
• Familiarity with risk and compliance domains, including Sanctions and PEP data.

Responsibilities

• Design, automate, and maintain ETL and data processing pipelines.
• Build and optimize web scraping and data extraction workflows.
• Lead and manage web scraping and data engineering teams.
• Document automation workflows and secure data-sharing systems.
• Integrate AI and NLP for data extraction and analytics.
• Analyze large-scale datasets to improve accuracy and performance.

Skills

Apache Airflow

Apache Spark

Web Scraping

OpenAI GPT

Data Engineering

Automation

NLP

Pandas

NumPy

Tools

Grafana

Git

Postman

Jupyter

VS Code

Job description

Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‑edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions.

Our offerings enable clients to streamline and future‑prove their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Job Summary

We are seeking an experienced Data Engineering & Automation Lead to design, automate, and optimize large-scale data processing and web scraping pipelines. The role involves leading a team to build and maintain high-performance ETL workflows using Apache Airflow, Apache Spark, and AWS services, while integrating AI/NLP solutions powered by OpenAI GPT and other GenAI models for intelligent data extraction and analytics.

Key Responsibilities

• Design, automate, and maintain ETL and data processing pipelines using Apache Airflow and Apache Spark.
• Build, monitor, and optimize web scraping and data extraction workflows for global compliance and risk data sources.
• Lead and manage web scraping and data engineering teams, ensuring delivery excellence, code quality, and scalability.
• Create, design, and document automation workflows and secure data‑sharing systems using AWS (Lambda, S3, API Gateway, SQS).
• Implement AI and NLP integrations using OpenAI GPT and GenAI models for intelligent data extraction, tagging, and analytical automation.
• Analyze large‑scale datasets to identify quality gaps, improve accuracy, and optimize indexing and retrieval performance.
• Collaborate with Backend, DevOps, and Frontend teams for data modeling, monitoring, and visualization.
• Work closely with clients to gather and translate business requirements into scalable automation and analytics solutions.
• Author HLD/LLD documentation, mentor junior engineers, and continuously improve automation processes and data workflows.

Key Requirements

• Strong understanding of Large Language Models (LLMs) and Generative AI for building intelligent data extraction and analytics agents.
• Familiarity with risk and compliance domains, including Sanctions, PEP (Politically Exposed Persons), and AMS (Adverse Media Screening) data and processes.

Skills

Core Technical Skills

• Data Engineering & Automation: Apache Airflow, Apache Spark, Web Scraping (Scrapy, Selenium), Pandas, NumPy
• AI/ML & NLP: OpenAI GPT APIs, NER, Sentiment Analysis, Embeddings, Information Extraction
• Monitoring & Tools: Grafana, Git, Postman, Jupyter, VS Code