Gcp Data Engineer

Wipro; Pune District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Wipro is seeking a GCP Data Engineer to design, build, and maintain scalable data pipelines on Google Cloud Platform. The role focuses on ETL/ELT, data warehousing, and cloud-native data platforms using BigQuery, Dataflow, Dataproc, and Cloud Composer.

You will collaborate with analysts and engineers to deliver data-driven solutions, troubleshoot production issues, and implement CI/CD practices for data platforms while ensuring data quality and security.

Qualifications

• Experience designing scalable data pipelines on Google Cloud Platform (GCP).
• Strong ETL/ELT development and data warehousing experience.
• Knowledge of data governance, security, and performance optimization on cloud data platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services.
• Build and optimize batch and real-time ETL/ELT workflows.
• Develop and manage data solutions using BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and GCS.
• Ensure data quality, governance, security, and performance.

Skills

ETL/ELT

Data modeling

Data governance

Tools

BigQuery

Dataflow

Dataproc

Cloud Composer

Cloud Storage (GCS)

Pub/Sub

Cloud Functions

Job description

Role & responsibilities

Job SummaryWe are seeking a highly skilled GCP Data Engineer with expertise in designing, developing, and maintaining scalable data solutions on Google Cloud Platform (GCP). The ideal candidate should have strong experience in building data pipelines, data warehousing, ETL/ELT processes, and cloud-native data platforms leveraging GCP servicesKey ResponsibilitiesDesign, develop, and maintain scalable data pipelines using GCP services. Build and optimize ETL/ELT workflows for batch and real-time data processing. Develop and manage data solutions using BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and GCS.Create and maintain robust data models and data warehouses. Ensure data quality, governance, security, and performance optimization. Collaborate with business stakeholders, analysts, and engineering teams to deliver data-driven solutions. Troubleshoot production issues and perform performance tuning. Implement CI/CD and automation best practices for data platforms. Create technical documentation and support knowledge-sharing initiatives.

Preferred candidate profile

Google Cloud PlatformBigQueryDataflowDataprocCloud Composer (Airflow)Cloud Storage (GCS)Pub/SubCloud Functions (preferred)