GCP + Pyspark

Cognizant Technology Solutions Corporation; Khordha; Hybrid; INR 1,200,000 - 1,900,000; Full time

Job summary

Cognizant is seeking an experienced GCP Data Engineer to design, build, and optimize scalable cloud-based data solutions. You will work with Google Cloud Platform and BigQuery to power analytics, data warehousing, and large-scale data processing.

You will develop ETL/ELT pipelines, apply data modeling, partitioning, and query tuning, ensure data quality and security, and collaborate with analysts, architects, and business stakeholders to deliver cost-efficient data platforms.

Qualifications

• 6-12 years of experience in data engineering on GCP.
• Hands-on experience with data warehousing, ETL/ELT development, and large-scale data processing.

Responsibilities

• Design and develop scalable data pipelines on Google Cloud Platform.
• Build, maintain, and optimize data warehouses using BigQuery.
• Develop ETL/ELT processes for structured and unstructured data sources.
• Perform data modeling, partitioning, clustering, and query optimization in BigQuery.
• Implement data ingestion frameworks using GCP-native services.
• Ensure data quality, governance, security, and compliance standards.
• Collaborate with Data Analysts, Architects, and Business stakeholders to deliver analytics solutions.
• Monitor and optimize data platform performance and cost efficiency.

Skills

GCP

BigQuery

Data Warehousing

ETL/ELT Development

Data Modeling

Tools

BigQuery

Dataflow

Cloud Composer

Job description

Job Title: GCP Data Engineer (BigQuery)

Experience: 6-12 Years

Location: PAN India / Hybrid

Job Description

We are seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform (GCP) and BigQuery to design, build, and optimize scalable cloud-based data solutions. The ideal candidate should have hands‑on experience in data warehousing, ETL/ELT development, and large-scale data processing within the GCP ecosystem.

Key Responsibilities

• Design and develop scalable data pipelines on Google Cloud Platform.
• Build, maintain, and optimize data warehouses using BigQuery.
• Develop ETL/ELT processes for structured and unstructured data sources.
• Perform data modeling, partitioning, clustering, and query optimization in BigQuery.
• Implement data ingestion frameworks using GCP-native services.
• Ensure data quality, governance, security, and compliance standards.
• Collaborate with Data Analysts, Architects, and Business stakeholders to deliver analytics solutions.
• Monitor and optimize data platform performance and cost efficiency.