Data Engineering Professional l

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.