Senior Data Engineer
takeda
Job Description
- Develop and maintain scalable data models and pipelines using AWS native technologies to support increasing data sources, volumes, and complexity.
- Collaborate with several business functions to improve data models and its quality to support the development of digital products, fostering data-driven decision-making across the organization.
- Implement processes and systems to ensure data reconciliation, monitor data quality, and ensure production data is accurate and available for key stakeholders, downstream systems, digital products, and business processes.
- Write unit, integration, and performance test scripts, contribute to engineering documentation, and maintain the engineering wiki.
- Perform data analysis to troubleshoot and resolve data-related issues.
- Work closely with AGILE SCRUM Teams, specifically frontend and backend engineers, product managers, scrum masters, quality engineers to deliver integrated and scalable data products.
- Collaborate with enterprise teams, including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering, to design and develop data integration patterns and models supporting various digital products.
- Partner with DevOps and the Cloud Center of Excellence to deploy data pipeline solutions in the Takeda AWS environments, meeting security and performance standards.
- Support and align with Data Trustees, Data Stewards, and Master Data Management functions following Data Governance principles.