Data Engineer

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 customers' 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 Mandatory Skills Description: AWS, Apache Spark, Apache Airflow, Agile Methodology, Python Nice-to-Have Skills Description: Airbyte, Kubernetes, Relational Database, Docker