Jobs → Data & Analytics → Data Engineer

About the Role We are seeking a Senior Data Engineer specializing in Databricks and Snowflake to design, build, and maintain scalable data pipelines. This role requires expertise in data modeling, database design, and cloud-based architectures, with a focus on the histopathology domain. Key Responsibilities • Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse sources • Create and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, and Snowflake • Develop and maintain specific data repositories, implementing enterprise-level data models • Enable AI/ML readiness by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise data standards Requirements • Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred • 6+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment • Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt • Proficiency in RDS and expertise in ETL and DWH • Experience with NoSQL and graph databases • English language proficiency of B2+ • Strong analytical, problem-solving, and stakeholder-management skills • Ability to drive multiple projects simultaneously with strong organizational skills and adaptability