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** About the role: The Data Engineering Engineer IV collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on generating insights from connected data, enabling advanced data-driven decision-making capabilities. About the role: The Data Engineering Engineer IV collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on generating insights from connected data, enabling advanced data-driven decision-making capabilities. How you will contribute: + Work closely with cross-functional teams to understand data requirements and business objectives, and translate them into effective visualizations. + Develop interactive and visually appealing data visualizations, dashboards, and reports using a variety of tools and technologies. + Collaborate with data scientists and analysts to identify key metrics and trends, and design visualizations that effectively communicate the findings. + Conduct thorough data analysis to ensure accuracy, completeness, and integrity of visualized data. + Explore and recommend new tools, technologies, and best practices for data visualization, staying updated with industry trends and advancements. + Optimize visualizations for performance, interactivity, and responsiveness to ensure seamless user experience. + Conduct user testing and gather feedback to improve the usability and effectiveness of data visualizations. + Present findings and insights to stakeholders in a clear and concise manner, making complex data accessible to both technical and non-technical audiences. + Collaborate with the development team to integrate visualizations into existing systems or applications. + Document design choices, methodologies, and best practices to ensure reproducibility and scalability of visualizations. Skills and qualifications: + 3+ years of proven experience as a Data Visualization Engineer, Data Engineer, Data Analyst, or a similar role.  + Proficiency in data visualization tools such as Power BI (required) or QlikView (nice to have) and familiarity in programming languages like Python or R for data manipulation and analysis.  + Advanced knowledge of SQL, executing complex queries and managing databases effectively. + Experience in writing complex DAX functions in Power BI and Power Pivot. + Understanding of data architecture and models (Data lake, Erwin), and familiarity with data warehousing concepts. + Advanced knowledge of Excel (pivot tables, charting, macros, calculations). + Solid understanding of data visualization principles, best practices, and design aesthetics. + Strong expertise in data integration, data modeling, and modern database technologies (GraphQL, SQL, No-SQL, python, pySpark) and AWS cloud technologies (e.g., DMS, Lambda, Databricks, SQS, Step Functions, Data Streaming).   + Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights for decision making.  + Good communication and presentation skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.  + Detail-oriented with a strong focus on data accuracy and integrity. + Ability to work in a fast-paced environment, manage multiple projects simultaneously, and meet deadlines.  + Knowledge of testing tools and and practices (unit testing, integration testing, E2E testing).   + Proficient working in AGILE SCRUM Teams and using JIRA and Confluence. **Locations** MEX - Santa Fe **Worker Type** Employee **Worker Sub-Type** Regular **Time Type** Full time