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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain reliable, secure data pipelines and cloud-based analytics architectures in collaboration with Data Architects and Engineers.
Support data governance efforts, gather requirements, and establish best practices to ensure data aligns with FAIR principles and optimize decision-making.
Develop reusable data engineering components and infrastructure to streamline future analytics use-cases across multiple domains, especially in Healthcare Data and Analytics.
Minimum Requirements
M.Sc./PhD/BE in Computer Science or related field with 2+ years of relevant experience.
Proven experience with cloud platforms such as Palantir, AWS, Hadoop, and familiarity with data security best practices.
Strong proficiency in Python, PySpark, R, with additional programming knowledge in languages like C++, Rust, or Java.
Experience designing ETL architectures for batch and streaming, database technologies (OLTP/OLAP), SQL, Apache Spark, Hadoop ecosystem, and multicloud environments (AWS, GCP, Azure).
Ideal Candidate Profile
Experienced in multi-domain, project-based environments with a focus on Healthcare Data and Analytics or related scientific domains.
Comfortable working collaboratively within agile teams and leading technical efforts in data engineering and governance.
Familiarity with data governance frameworks, GxP data contexts, and Pharma value chain is a strong plus for alignment with role responsibilities.