Posted on: 03/06/2026
Key Responsibilities :
- Design, build, and maintain scalable data pipelines and data processing systems
- Develop and optimize large-scale distributed data processing solutions using PySpark
- Work extensively on GCP services for data engineering solutions
- Implement and manage data orchestration pipelines
- Optimize SQL queries and improve data performance & efficiency
- Collaborate with cross-functional teams in Agile environments
- Ensure high-quality, reliable, and scalable data solutions
- Work on cloud-native and microservices-based architectures
- Handle containerized workloads and deployments using Kubernetes / GKE
Required Skills (Must-Have) :
- Core Data Engineering
- Google Cloud Platform (GCP)
- Data Pipeline & Orchestration
- Cloud & Big Data Ecosystem
- Containerization & Deployment
- Development & Practices
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1641205