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Salary
≈ $21k – $42k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Jun 2, 2026. Quantiphi scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Quantiphi is an artificial intelligence and data engineering company founded in 2013 that builds applied machine learning systems for healthcare, financial services, retail, media and public sector clients. It works as a specialist partner to the major cloud providers, and its work spans document processing, computer vision, forecasting, conversational systems and the data platforms underneath them. Headquartered in Marlborough, Massachusetts with its largest engineering base in India, it employs several thousand people and competes with both the large systems integrators and smaller boutique data science firms.

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!

Role: Looker BI Developer

Exp: 3 -6 Years

Job Location : Mumbai , Bangalore, Trivandrum

Role Summary

You will be responsible for designing, developing, and maintaining scalable analytics solutions on the Looker BI Platform. We are seeking an experienced Looker Developer with deep hands-on expertise in LookML modeling, semantic layer governance, dashboard development, and a strong understanding of GCP data warehouses such as BigQuery. You will partner closely with data engineers, analysts, and business stakeholders to deliver.

Key Responsibilities:

  • 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.

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 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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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