Data Engineer - Python/Airflow

Project description The Client provides the biopharmaceutical and life sciences industries with integrated drug development and manufacturing solutions, from large-scale in vitro and in vivo drug candidate efficacy studies to the clinical and commercial supply of biologics. We are committed to advancing human health by improving the probability of success, decreasing timelines, and increasing the efficacy of innovative therapies by helping translate our customer's innovative science into life-saving medicines Responsibilities We're looking for a senior engineer with deep Python expertise who can help build an enterprise data lake for clients using highly visual web applications Skills Must have AWS, Apache Spark, Apache Airflow, Agile Methodology, Python Nice to have Airbyte, Kubernetes, Relational Database, Docker