Looker + GCP

Cognizant Technology Solutions Corporation; Chennai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Cognizant Technology Solutions Corporation in India is seeking a GCP Data Engineer / BI Developer to design, develop, and maintain enterprise analytics solutions leveraging Looker and Google Cloud Platform.

The role emphasizes LookML modeling, interactive dashboards, data pipelines on GCP, and collaboration with stakeholders to deliver scalable, secure analytics; 6–12 years of experience is required, with PAN India as the location scope.

Qualifications

• 6–12 years of experience in data engineering / BI
• Hands-on Looker and GCP experience
• LookML modeling experience
• BigQuery and data warehousing experience
• Designing scalable analytics solutions

Responsibilities

• Design and develop scalable BI solutions using Looker
• Build semantic models with LookML
• Develop dashboards and self-service analytics
• Design and optimize data pipelines on Google Cloud Platform
• Work with BigQuery for warehousing, querying, and performance tuning
• Collaborate with stakeholders to gather reporting and analytics requirements
• Implement data quality, governance, and security best practices
• Monitor and optimize dashboard performance and query execution

Skills

Looker

LookML

GCP

BigQuery

Data modeling

Dashboard development

SQL

Data warehousing

Job description

Job Title: GCP Data Engineer / BI Developer (Looker + GCP)

Experience: 6-12 Years
Location: PAN India

Job Description

We are looking for a skilled GCP Data Engineer / BI Developer with strong expertise in Looker and Google Cloud Platform (GCP) to design, develop, and maintain enterprise-scale analytics and reporting solutions. The ideal candidate should have hands‑on experience in data modeling, dashboard development, and cloud‑based data warehousing.

Key Responsibilities

• Design and develop scalable BI and analytics solutions using Looker.
• Build and maintain semantic models using LookML.
• Develop interactive dashboards, reports, and self‑service analytics for business users.
• Design and optimize data pipelines on Google Cloud Platform.
• Work with BigQuery for data warehousing, querying, and performance tuning.
• Collaborate with business stakeholders to gather reporting and analytics requirements.
• Implement data quality, governance, and security best practices.
• Monitor and optimize dashboard performance and query execution