Senior Data Engineer- BI developer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

• Design, develop, and maintain LookML models, including views, explores, joins, and reusable semantic components.
• Create governed, scalable data models aligned with KPI definitions and business rules.
• Implement dimensions, measures, calculations, and LookML parameters following best practices.
• Optimize explores for performance, usability, and governed access.
• Build clean, intuitive dashboards and visualizations tailored to business users.
• Implement filters, drill paths, conditional logic, and other interactive analytics features.
• Ensure consistent design patterns and high performance across all reports.
• Improve Looker performance through LookML optimizations, caching strategies, and BigQuery SQL tuning.
• Conduct data validation, reconciliations, and regression checks to ensure accuracy.
• Troubleshoot issues related to dashboards, explores, user permissions, and scheduled reports.
• Establish and maintain Looker governance standards, including naming conventions, folder structure, and semantic consistency.
• Implement secure role-based access controls using Looker permissions, model sets, and user attributes.
• Maintain documentation for LookML projects, datasets, KPIs, joins, and business logic.
• Ensure compliance with data privacy and security guidelines.
• Work closely with data engineers, analytics engineers, and business stakeholders to align modeling with data pipelines.
• Partner with business teams to gather requirements, refine metrics, and design analytical solutions.

• 6+ years of experience as a Looker Developer or in a BI/analytics development role.
• Bachelor’s degree in Computer Science, Engineering, Data Analytics, or equivalent experience.
• Strong Hands-on experience with Looker modeling, dashboarding, user attributes, and role-based access control
• Proficiency with BigQuery SQL, including analytical functions, performance tuning, and working with large datasets.
• Familiarity with GCP data ecosystem (BigQuery, GCS, Dataform).
• Experience with Git for version control in Looker projects.
• Strong understanding of dimensional modeling, semantic layers, and BI best practices.
• Experience with Looker Conversational Analytics API. Automation using Python is a plus
• Experience with embedded Looker analytics is a plus.