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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable LookML models, including views, explores, derived tables, and row-level access controls to support analytics.
Collaborate with data engineering teams to design semantic data models aligned with cloud data platforms like BigQuery and ensure single source of truth.
Create and manage interactive, user-friendly Looker dashboards and reports for diverse business stakeholders, translating requirements into clear visualizations.
Minimum Requirements
Deep expertise in Looker platform and LookML development with advanced SQL skills on cloud data warehouses such as BigQuery.
Experience integrating Looker with cloud data platforms (BigQuery, Snowflake, Redshift, Databricks) and implementing data governance within Looker.
Familiarity with version control (Git) for LookML project management and knowledge of at least one programming language for API use (e.g., Python, JavaScript).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong proficiency in semantic modeling, dimensional modeling (star/snowflake schemas), and data warehouse principles within cloud environments (GCP preferred).
Experienced in managing LookML projects for scalable, maintainable analytics infrastructure and embedding Looker analytics using APIs.
Capable of bridging technical Looker development with business-focused dashboard design to enable self-service analytics across organizational levels.