As a Data Visualization Engineer, you will be responsible to create data visualization solutions to improve business processes. This role will include tasks such as generating Superset/Tableau dashboard reports, creating business intelligence reports and visualizations, and work with developers.
Roles and Responsibilities
• Design, develop, conducts unit testing, and maintains complex Apache Superset/ Tableau reports for scalability, manageability, extensibility, performance, and re-use.
• Provide technical expertise in areas of architecture, design, and implementation.
• Determine the best implementation that will meet the design of the architect.
• Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.
• Work through iterative review cycles to deliver results that meet or exceed user expectations.
• Ensure consistency by adhering to a set of software coding and style guides.
• Resolve support tickets related to Superset reports and Ad-Hoc reporting.
Requirements
• Bachelor’s Degree in Computer Science or Data Science.
• At least 5 years’ experience creating Data Visualizations in an enterprise data environment.
• Proven experience in developing and working Apache Superset/ Tableau driven dashboards, analytics.
• Ability to query and display large data sets while maximizing the performance of chart/dashboard.
• Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications.
• Working knowledge of OpenShift and Apache Superset administrator/architecture.
• Advanced jinja template development skills required.
• High-level competency in macros, pivot tables and time series chart.
• Understanding of advanced calculations and statistical functions.
• A solid understanding of SQL, relational database management system, data modeling, and normalization.
• Experience with Python programming.
• Excellent communication & interpersonal skills to utilize data to tell a story.
• Attention to detail and accuracy.
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