Senior Data Engineer- BI developer

expertise in Look ML modeling, semantic layer governance, dashboard development, and a strong understanding of GCP data warehouses such as Big Query. You will partner closely with data engineers, analysts, and business stakeholders to deliver. Key

RESPONSIBILITIES

Design, develop, and maintain Look ML 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 Look ML 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 Look ML optimizations, caching strategies, and Big Query 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 Look ML 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. Requirements: 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 Big Query SQL, including analytical functions, performance tuning, and working with large datasets. Familiarity with GCP data ecosystem (Big Query, 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. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Thank you for your interest in Quantiphi! We are a team that dreams together and collaborates to ensure success. We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture. As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe. If this excites you, explore our current openings and apply to any job roles that suit and interest you. Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We solve the toughest and most complex business problems with the latest and cutting-edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family. Our culture is built on transparency, diversity, integrity, learning and growth. We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional as well as personal lives.