Senior Data Engineer

Responsibilities:
- Architect, develop, and maintain scalable, high-performance data infrastructure and pipelines for advanced analytics, business intelligence, and data science.
- Design and implement data pipelines for structured and unstructured data from diverse sources.
- Lead development and management of enterprise-level data lakes and data warehouses for storage, transformation, and integration.
- Build and orchestrate ETL/ELT workflows using SQL and Python for reliable data processing.
- Design logical and physical data models to support analytical use cases.
- Collaborate with analysts and stakeholders to understand business requirements and deliver solutions on cloud platforms.

Requirements:
- Master’s degree in Computer Science, Data Analytics, Information Technology, or related field plus 3 years of related experience.
- Prior experience including: scalable data pipelines for structured/unstructured data; implementing/managing data lakes and warehouses; ETL/ELT workflows for data transformation/integration; logical and physical data modeling for analytics.

Benefits (as listed): Medical, dental, vision, 401(k) with match, short-term/long-term disability, basic life insurance, tuition reimbursement, paid volunteer time off, company holidays, well-being benefits, up to 80 hours sick time/year, and up to 120 hours paid vacation for new hires.

Application:
- Apply at https://jobs.takeda.com. Reference job #R0177944. 100% remote work allowed.