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Tier-1 brand and Bengaluru metro raise interest, but Looker-specialized senior skills narrow candidate pool.
Looker and cloud-data-warehouse specialization makes skills moderately transferable across industries but somewhat niche.
Role mandates deep Looker/LookML, cloud warehouse SQL and GCP expertise, making filters stringent.
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Develop, maintain, and optimize LookML models and components ensuring scalability and performance improvements.
Design and build interactive Looker dashboards and reports translating business requirements into actionable insights.
Collaborate with data engineering on semantic layer models, implementing data governance, access controls, and ensuring data consistency across systems.
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 such as BigQuery; hands-on experience with GCP.
Proficiency in version control workflows (Git) for LookML project management and knowledge of API interactions (Python or JavaScript).
Work Experience Required: Not explicitly mentioned in the JD.
Strong hands-on experience in BI semantic modelling and dashboard development within cloud data environments, especially Google Cloud Platform.
Experienced in managing data governance, row-level security, and implementing embedded analytics use cases.
Able to optimize and refactor existing analytical models and reports for performance and maintainability in an enterprise BI setting.