Senior Data Engineer- BI developer

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.

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.

Requirements:

• 6+ years of experience as a Looker Developer or in a BI/analytics development role.

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.