Data Visualization Engineer

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