GCP + Pyspark

Cognizant; Bhubaneswar Municipal Corporation; Hybrid; INR 1,800,000 - 3,600,000; Full time

Job summary

Cognizant Technology Solutions Corporation is seeking a GCP Data Engineer (BigQuery) in India. The role requires 6–12 years of experience designing and optimizing cloud-based data solutions using GCP and BigQuery.

You will build scalable data pipelines, develop ETL/ELT processes, model data, and ensure data quality, governance, and cost efficiency while collaborating with analysts and business stakeholders.

Qualifications

• 6–12 years of data engineering experience in cloud environments.
• Strong hands-on with GCP, BigQuery, and data warehousing.
• Experience with ETL/ELT, data modeling, and cost optimization.

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

ETL/ELT

Data Warehousing

SQL

Tools

Cloud 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.