Job Description
We are currently looking for Data Engineers with EST availability to assist in developing intelligent solutions enabling our customers to accelerate discovery, acquire clinical insights, and address R&D challenges. Responsibilities include data organization and analysis, handling structured, semi-structured, unstructured, and image-based data, building data systems and pipelines, preparing data for prescriptive and predictive modeling, and designing end-to-end pipelines within a hybrid big data architecture, using Cloud Native AWS, Python, SQL, etc.
Leveraging AWS Cloud services for building data pipelines and ensuring effective monitoring, along with collaborating with data scientists and architects across various projects. The ideal candidate will have 5+ years of Data Engineering experience with Python, SQL, Spark, Databricks, DWH, Snowflake, Airflow, and AWS services. A background in life science, particularly in neuroscience, is highly preferred.