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.

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.

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