Description
Tiger Analytics is seeking an experienced Data Engineer to design, build, and maintain scalable AWS-based data pipelines and infrastructure. The role supports analytics, machine learning, Generative AI, and pharmaceutical commercial data initiatives, using AWS services, Databricks, Apache Spark, SQL, and Airflow. Responsibilities include integrating pharma data sources, developing ETL/ELT and lakehouse workflows, enabling LLM and RAG applications, migrating legacy systems, and ensuring pipeline performance, quality, reliability, and cost-effectiveness.
