Data Visualization Engineer (Power BI)

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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.

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.