Principal Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🔔 Pennsylvania – Distant

🔔 Pennsylvania – Remote

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

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Jazz Pharmaceuticals

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2003

🏥 Santé

🏭 Fabrication

🧬 Biotechnologie

Healthcare • Manufacturing • Biotechnology

Jazz Pharmaceuticals est une entreprise biopharmaceutique dédiée au développement de médicaments innovants répondant à des besoins médicaux sérieux non satisfaits. Avec un fort engagement envers la recherche et le développement, Jazz se concentre sur la création de thérapies transformatrices, mettant en avant l'importance de la collaboration, de la diversité et de l'engagement des employés dans ses opérations. L'entreprise est fière de transformer la vie des patients grâce à ses offres de produits significatives et une culture qui favorise l'enthousiasme et la flexibilité.

Description

• Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. • Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. • Build and maintain data repositories using AWS S3 and FSx technologies. • Establish data warehousing solutions using Amazon Redshift. • Build and maintain standard data models. • Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. • Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. • Create and maintain documentation for data processes, architectures, and workflows. • Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). • Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. • Maintain compliance with data privacy regulations such as HIPAA, GDPR. • May be required to develop, deliver or support data literacy training across R&D.

🎯 Exigences

• Strong knowledge of data engineering tools such as Python, R and SQL for data processing. • Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. • Strong proficiency with relational databases. • Strong background in data modeling and database design. • Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). • Familiarity with Containerization such as Docker and EKS/Kubernetes. • Familiarity with one or more RnD research process and associated regulatory requirements. • Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). • Exposure to big data technologies and handling. • Knowledge of machine learning operations (MLOps) and model deployment. • Strong problem-solving and analytical abilities. • Excellent communication skills for collaborating with stakeholders. • Experience working in an Agile development environment. • Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred • 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data

🏖️ Avantages

• medical, dental and vision insurance • retirement savings plan • flexible paid vacation