About the role
You will lead the frontend and data modeling layer by transforming raw GCP data into actionable insights for clients. The role involves managing a complex, multi-tenant Looker environment to ensure secure, scalable, and high-performance dashboard architecture.
What they look for
Requirements
Candidates must have expert-level experience with Looker and LookML, along with mastery of SQL for Google BigQuery. Strong knowledge of data governance, multi-tenancy security filters, and GCP resource structures is required.
Full description
Overview
We are seeking a Senior Data Engineer with a specialization in Looker (LookML) to lead the frontend and data modeling layer. Your mission is to transform raw GCP data into actionable insights for our clients.
The core of this role involves managing a complex, multi-tenant Looker environment. You will
maintain the LookML layer that uses dynamic properties to route users to their specific BigQuery datasets, ensuring that our "one-to-many" dashboard architecture is secure, scalable, and lightning-fast.
Qualifications
● Looker/LookML: Expert-level experience building complex models and managing Looker instances.
● Version Control: Managing branches and code repositories for models, dashboards, and metrics.
● Advanced SQL: Mastery of SQL, specifically for Google BigQuery (window functions, nested/repeated fields).
● Multi-tenancy: Experience managing data access and security filters for multiple external clients within a single BI platform.
● Data Governance: Knowledge of how to manage "Liquid" variables or user attributes in Looker to drive dynamic content.
● User Administration: Experience managing Looker groups, roles, and users, including custom attributes for each.
● GCP Knowledge: General understanding of GCP resource structures to better interpret the incoming data.
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