Google Cloud Looker Developer

Responsibilities

• Develop and Maintain LookML: Create and maintain robust, well-documented LookML models to support diverse business requirements.
• Design & Build Dashboards: Design, build, and deploy interactive and visually appealing dashboards and reports in Looker that effectively communicate key insights.
• Collaborate with Stakeholders: Partner with business users and analysts to gather requirements, understand their needs, and translate them into technical specifications.
• Optimize Performance: Optimize Looker performance, including LookML models and data models, for scalability, efficiency, and a great user experience.
• Data Visualization Best Practices: Implement data visualization best practices to ensure clear and effective communication of data insights.
• Define & Track Metrics: Work with stakeholders to define and track key performance indicators (KPIs) and build visualizations to monitor them.
• Troubleshoot & Resolve: Diagnose and resolve Looker-related issues, ensuring high availability and reliability of the platform.
• Stay Current: Stay up-to-date with the latest Looker and Google Cloud Platform (GCP) features, best practices, and advancements.

Must-Haves (Absolutely Required):

• LookML Expertise: Strong proficiency in LookML development, including explores, views, dimensions, measures, and derived tables. Must be able to write clean, efficient, and reusable LookML. Having a Looker certification is a plus.
• Advanced SQL: Excellent SQL skills for data querying, manipulation, and analysis. Must be comfortable with complex queries and data transformations.
• Data Warehousing Knowledge: In-depth understanding of data warehousing concepts (star schemas, snowflake schemas, etc.) and data modeling techniques.
• Data Visualization Skills: Proven experience creating clear, insightful, and user-friendly data visualizations. Experience with Looker's visualization options is essential.
• Requirements Gathering: Ability to translate business requirements into technical solutions, working effectively with both technical and non-technical stakeholders.
• Problem-Solving: Excellent problem-solving and analytical skills, with a strong attention to detail.
• Communication & Collaboration: Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.