Data Visualization Engineer

hace 2 semanas

Cuajimalpa, México Takeda Pharmaceutical A tiempo completo

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.- 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

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