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Business Intelligence Engineer
Business Intelligence EngineerTrue Tech Professionals • Gurgaon, Gurgaon (district)
Business Intelligence Engineer

Business Intelligence Engineer

True Tech Professionals • Gurgaon, Gurgaon (district)
3 days ago
Job description

Experience required - 4+ years

Job Description : Senior Looker Full Stack Engineer

Role Overview

We are seeking a Senior Looker Full Stack Engineer who will own the entire Business Intelligence (BI) and data activation stack. This role involves designing and implementing scalable data models in a cloud data warehouse (primarily Google BigQuery ), building the authoritative semantic layer in Looker , and ensuring data is delivered reliably and securely to end-users. The ideal candidate blends deep SQL and LookML expertise with a strong software engineering and platform mindset.

Key Responsibilities

1. Looker Semantic Modeling & BI Development (The Front End)

  • Design, build, and maintain the organization's core data models using LookML (Looker Modeling Language), ensuring a single, trustworthy source for all critical metrics.
  • Develop high-impact dashboards, visualizations, and Explores that enable business users across all departments (e.g., Finance, Marketing, Product) to self-serve and derive actionable insights.
  • Implement and manage advanced Looker features, including User Attributes, Access Filters, and Custom Visualizations , to enforce data governance and security.
  • Utilize the Looker API for programmatic automation of user provisioning, content migration, and embedding analytics into external applications.

2. Data Warehouse Architecture & Optimization (The Back End)

  • Serve as the subject matter expert for Google BigQuery (GBQ) , advising on data structure design, table schema, and optimization strategies (e.g., partitioning, clustering, ingestion time).
  • Write, refactor, and performance-tune highly complex SQL queries to reduce query latency and manage cloud computing costs efficiently.
  • Collaborate with Data Engineers to implement and maintain ETL / ELT transformation pipelines using modern tools like dbt (Data Build Tool) or Google Dataform , ensuring data quality and lineage.
  • Monitor data pipeline health and freshness, establishing and reporting on Service Level Objectives (SLOs) for data delivery.
  • 3. Platform Engineering & Governance (The Full Stack)

  • Implement Software Development Lifecycle (SDLC) best practices for analytics code, including Git version control for LookML and transformation logic, CI / CD pipelines, and code review processes.
  • Define and enforce data security and governance policies across both BigQuery (IAM, R / CLS) and Looker.
  • Manage the Looker instance platform, including upgrades, performance tuning, capacity planning, and integration with other enterprise tools.
  • Proactively identify and resolve system bottlenecks, data discrepancies, and usage inefficiencies across the entire data-to-dashboard path.
  • Required Skills & Qualifications

  • 5+ years of professional experience in a Data Engineering, BI, or Analytics Engineering role.
  • Expert-level proficiency in Looker (LookML) , with demonstrable experience modeling large-scale, complex datasets.
  • Expert-level proficiency in Advanced SQL and extensive hands-on experience with Google BigQuery (optimization, partitioning, costing).
  • Strong experience with a data transformation framework such as dbt or Google Dataform .
  • Proficiency in at least one scripting language for automation and data manipulation, ideally Python .
  • Solid understanding of cloud data warehousing principles and the Google Cloud Platform (GCP) ecosystem.
  • Experience with version control systems, particularly Git .
  • Excellent analytical and problem-solving skills, with the ability to communicate technical concepts to a non-technical audience.
  • Preferred Qualifications

  • Looker Certified Developer and / or Google Cloud Professional Data Engineer Certification .
  • Experience with the Looker API for content or user administration automation.
  • Familiarity with other GCP services like Cloud Composer (Airflow) , Pub / Sub , or Vertex AI .
  • Experience with embedded analytics solutions.
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    Intelligence Engineer • Gurgaon, Gurgaon (district)

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