The role involves designing and building scalable data ingestion pipelines from various sources including on-premise, cloud, API-driven, and third-party systems. Responsibilities include developing and maintaining ETL pipelines while ensuring data quality, testing, and documentation standards are met. The position requires building and optimizing data warehouses, data marts, and analytics models. Additionally, the role involves processing large-scale structured and semi-structured datasets. The individual will also write code to support data transformations, validations, and analysis.

The role requires proficiency in Python, Snowflake, Databricks, dbt, and SQL. Candidates should have experience within the healthcare industry. The position also involves using Spark to process large-scale datasets. No specific degree or professional qualifications are mentioned in the posting.