Description

Design and maintain cloud-native data engineering solutions on Google Cloud Platform, ensuring scalable and reliable data processing.

This role is hybrid.

Responsibilities

• Develop and optimize data pipelines using Databricks, BigQuery, Spanner, AlloyDB, and Cloud Storage.
• Build and maintain APIs for application integration and enterprise services.
• Implement CI/CD pipelines, GitOps practices, and artifact management with JFrog Artifactory and Azure DevOps.
• Automate infrastructure provisioning using Terraform and manage GKE and Cloud Run deployments.
• Design event-driven architectures using Pub/Sub and Kafka while enforcing GCP security and IAM standards.

Required Skills

• 5+ years of experience in DevOps, Cloud Engineering, or Software Development.
• Strong proficiency with Google Cloud Platform services: GKE, Cloud Run, BigQuery, Spanner, AlloyDB, and Cloud Storage.
• Hands-on experience with Databricks for cloud-based data engineering.
• Experience implementing CI/CD pipelines, GitOps methodologies, and API development.
• Proficiency in Infrastructure as Code using Terraform.
• Experience with JFrog Artifactory and Azure DevOps for release management.
• Experience building event-driven solutions using Pub/Sub and Kafka.
• Strong understanding of GCP security, IAM, encryption, and cloud governance best practices.

Key Skills

Education

Bachelor's degree