Senior Data Engineer
Core
Design, implement, and manage robust data architecture, high-performance data pipelines, and critical business systems to enable data-driven insights and strategic decision-making in life sciences.
Role type
Senior Data Engineer
Builds
Data pipelines, data warehouse solutions, and business systems for life sciences diagnostics and biotechnology
Domain
Life Sciences / Diagnostics / Biotechnology
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data warehousing concepts, Snowflake (ELT/ETL), Python/Java/Scala, SQL/NoSQL, Cloud platforms (AWS/Azure/GCP), Version control (GitHub), Project management (Jira)
Preferred skills
Data engineering certifications, Real-time streaming (Apache Kafka), Containerization (Docker/Kubernetes), Oracle ERP integration, Manufacturing Execution System (MES) data requirements, Data orchestration tools, Large-scale data migration
Technologies
Snowflake, GitHub, Oracle ERP, Jira, AWS, Azure, GCP, Apache Kafka, Docker, Kubernetes
Responsibilities
Design and optimize advanced ETL/ELT processes and data pipelines; Drive complex data integration initiatives from diverse enterprise sources; Identify and implement solutions for data system performance and scalability; Lead data engineering projects from conception to deployment; Provide technical guidance and mentorship to junior engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
