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Tier-1 brand and Bengaluru metro boost competition, but niche Looker skill narrows candidate pool.
Looker-specific semantic modelling increases domain specificity, though SQL and data modeling remain transferable.
Mandates deep Looker/LookML, advanced SQL, GCP and Staff-level expertise, so screening will be strict.
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Design, develop, and maintain scalable LookML models and interactive Looker dashboards for strategic business insights.
Collaborate with data engineering teams to build and govern semantic data models aligned with cloud data warehouses like BigQuery.
Implement data governance, row-level security, and optimize existing LookML code to ensure performance and compliance.
Deep expertise in Looker platform and LookML including views, explores, joins, derived tables, and templated filters.
Advanced SQL skills with experience in cloud data warehouses (BigQuery) and hands-on experience with GCP.
Experience with version control (Git) for LookML projects and implementing data governance policies including row-level security.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in both semantic data modelling and interactive dashboard/report development using Looker in a cloud environment (GCP).
Ability to create reusable, modular LookML components and optimize complex analytical queries for performance and scalability.
Familiar with Looker API and embedding, and capable of translating business requirements into clear, user-friendly visualizations.