Senior Looker / Analytics Engineer – LookML & BigQuery

Torry Harris Business Solutions; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Torry Harris Business Solutions in Bengaluru seeks a Senior Data/Analytics Engineer with expertise in Looker backend development, LookML and Google Cloud BigQuery to design scalable data models and analytics solutions.

You will optimize performance, manage LookML code with Git and CI/CD, and collaborate with data teams to translate requirements into robust Looker dashboards and BigQuery queries.

Qualifications

• Strong Looker backend development and LookML expertise.
• Proficient in GoogleSQL and BigQuery performance optimization.
• Experience with Git-based development and CI/CD workflows.

Responsibilities

• Architect LookML models, views, explores and dashboards as a semantic layer.
• Develop optimized GoogleSQL queries in BigQuery for analytics workloads.
• Optimize Looker performance and reduce cloud costs with caching, PDTs and aggregates.
• Manage LookML code with Git including branching, PRs and deployments.
• Collaborate with data engineering and analytics teams to translate requirements into scalable solutions.
• Ensure code quality, performance and maintainability across Looker projects.
• Troubleshoot and optimize Looker/BigQuery performance issues.
• Contribute to CI/CD implementation for Looker development practices.

Skills

LookML

Looker backend development

BigQuery

GoogleSQL

Git

CI/CD

Data modeling

Dashboard design

Tools

Looker

CI/CD tools

Job description

We are looking for a Senior Data/Analytics Engineer with strong expertise in Looker backend development, LookML and Google Cloud BigQuery. The role will be responsible for designing and maintaining scalable LookML models, optimizing Looker and BigQuery performance/cost, and managing LookML code through Git-based development and CI/CD practices.

Roles and Responsibilities

• Architect, build and maintain robust, scalable LookML models, views, explores and dashboards as a centralized semantic layer.
• Develop complex and optimized GoogleSQL queries using BigQuery capabilities such as partitioning, clustering and nested fields.
• Optimize Looker performance and Google Cloud costs using Aggregate Awareness, Datagroups, caching policies and PDT persistence strategies.
• Manage LookML development using Git, including branching, pull requests, code reviews and deployment workflows.
• Collaborate with data engineering, analytics and business teams to translate requirements into scalable data and analytics solutions.
• Ensure code quality, performance, maintainability and adherence to development standards.
• Support troubleshooting and optimization of Looker/BigQuery performance issues.
• Contribute to CI/CD implementation and continuous improvement of Looker development practices.