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Tier-1 brand and Bangalore metro increase applicant density, but Looker specialization limits broad competition.
Looker and cloud data warehouse expertise is transferable across industries but needs BI-tool specific experience.
Requires deep Looker/LookML and cloud SQL expertise, enforcing strict technical filtering.
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Own the development and maintenance of LookML semantic models, including views, explores, derived tables, and implementing row-level access controls.
Design and deliver interactive, user-friendly Looker dashboards and reports that provide actionable business insights across the organization.
Collaborate with data engineering teams to ensure data model alignment, data governance, and seamless integration with cloud data platforms like BigQuery, Snowflake, or Redshift.
Deep expertise in Looker platform and LookML development including views, explores, joins, derived tables, and templated filters.
Advanced SQL skills specifically with cloud data warehouses such as BigQuery.
Experience with version control for LookML projects (e.g., Git) and Looker deployment workflows.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building scalable, modular LookML components and optimizing existing models for performance and maintainability.
Hands-on familiarity with Google Cloud Platform (GCP) and cloud data ecosystem (BigQuery preferred).
Capable of translating complex business requirements into governed, self-service analytics with strong focus on data governance and security policies like Row-Level Security.