Lead Data Engineer

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:Good to Have: 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. Core Technical Skills: Programming: Python, SQL, JavaScript Data Engineering & Automation: Apache Airflow, Apache Spark, Web Scraping (Scrapy, Selenium), Pandas, NumPy Databases & Storage: Elasticsearch, MongoDB, MySQL Cloud & Backend: AWS (Lambda, S3, EC2, CloudWatch, SQS, SNS, EKS), Docker, Django, Flask AI/ML & NLP: OpenAI GPT APIs, NER, Sentiment Analysis, Embeddings, Information Extraction Monitoring & Tools: Grafana, Git, Postman, Jupyter, VS Code Soft Skills: Leadership & Team Mentoring Problem-Solving & Analytical Thinking Clear Technical Communication Cross-functional Collaboration Remote Team Coordination