Data Engineering Engineer V

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Senior Data Engineer The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future‑ready capabilities, we are meeting the need of patients, our people, and the planet. Mexico City has been selected to be home to Takeda’s recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital and technology fields. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected and valued as an important contributor to our diverse team. The Opportunity As a Senior Data Engineer, you will be building and maintaining data systems and construct datasets that are easy to analyze and support Business Intelligence requirements as well as downstream systems. Responsibilities Develops and maintains scalable data pipelines and builds out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity. Collaborates with analytics and business teams to improve data models that feed business intelligence tools and dashboards, increasing data accessibility and fostering data-driven decision making across the organization. Implements processes and systems to drive data reconciliation, monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes that depend on it. Writes unit/integration/performance test scripts, contributes to engineering wiki, and documents work. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Works closely with a team of frontend and backend engineers, product managers, and analysts. Works closely with enterprise teams including Enterprise Architecture, Security, and Enterprise Data Backbone Engineering to design and develop data integration patterns/solutions along with proper data models supporting different data and analytics use cases. Works with DevOps and Cloud Center of Excellence to deploy data pipeline solutions in Takeda AWS environments meeting security and performance requirements. Skills and Qualifications Bachelors’ Degree, from an accredited institution in Engineering, Computer Science, or related field. 5+ years of experience in software, data, data warehouse, data lake, and analytics reporting development. Strong experience in data/Big Data, data integration, data model, modern database (Graph, SQL, No‑SQL, etc.) query languages and AWS cloud technologies including DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming, Visualization, etc. Basic or intermediate experience in IDMC (Informatica) and in workflow orchestration tools such as Tidal or Airflow. Solid experience in DBA, dimensional modeling, SQL optimization - Aurora is preferred. Experience designing, building, maintaining data integrations using SOAP/REST web services/API, as well as schema design and dimensional data modeling. Excellent written and verbal communication skills including the ability to interact effectively with multifunctional teams. Locations MEX - Santa Fe Worker Type Employee Worker Sub-Type Regular Time Type Full time #J-18808-Ljbffr