About Position:

We are seeking a skilled GCP Data Engineer to design, develop, and support scalable cloud-native data platforms on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience in BigQuery, Dataflow, ETL/ELT development, Python, SQL, and up-to-date data engineering practices. You will be responsible for building robust data pipelines, optimizing data processing workflows, supporting analytics and reporting initiatives, and enabling enterprise-wide data-driven decision-making.

Role: GCP Data Engineer
Location:Pune
Experience: 2 to 5 Years
Job Type: Full Time Employment

What You'll Do:

Design, develop, and maintain scalable data pipelines on Google Cloud Platform.
Build and optimize ETL/ELT workflows for batch and real-time data processing.
Develop data ingestion frameworks for integrating data from multiple source systems.
Implement data transformation, orchestration, and workflow automation using GCP services.
Create and maintain enterprise data models, data marts, and data warehouse solutions.
Develop and optimize BigQuery datasets, queries,



views, and storage architectures.
Ensure data quality, integrity, governance, and security across enterprise data platforms.
Monitor and troubleshoot production workloads and data pipeline failures.
Collaborate with business users, analysts, architects, and application teams to understand data requirements.
Support reporting, analytics, dashboarding, and AI/ML initiatives through efficient data delivery.
Implement CI/CD processes and deployment automation for data engineering solutions.
Optimize cloud resource utilization and manage platform performance and cost efficiency.
Support cloud migration and data modernization initiatives.
Create and maintain technical documentation, data lineage, and operational runbooks.

Expertise You'll Bring:

2 to 5 years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
Hands-on experience with Google Cloud Platform (GCP) services.
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📌 GCP Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune