Job description
Role overview
Kyndryl seeks a Senior Google Cloud Data Engineer to design and optimize mission-critical data infrastructure. This role focuses on leveraging Google Cloud Platform (GCP) to deliver AI-powered insights, drive innovation, and maintain scalable cloud solutions for enterprise clients.
Key details
Candidates will lead data pipeline architecture, implement cloud security best practices, and collaborate with cross-functional teams to solve complex data challenges. The ideal candidate has 4-7 years of experience in cloud data engineering with GCP expertise.
Responsibilities
- Design and implement scalable data solutions on Google Cloud Platform
- Optimize cloud data pipelines for performance and cost efficiency
- Collaborate with AI/ML teams to integrate predictive analytics
- Ensure data security and compliance across cloud environments
- Mentor junior engineers in cloud best practices
Requirements
- 4+ years GCP data engineering experience
- Proficiency in Google Cloud Dataflow, BigQuery, and Pub/Sub
- Strong Python/SQL skills for data processing
- Experience with cloud security frameworks
- Proven ability to lead complex cloud projects
Benefits
- Competitive performance-based compensation
- Professional development budget
- Flexible work arrangements
- Health and wellness benefits
- Access to cutting-edge cloud technologies
Keywords
GCPData EngineeringCloud InfrastructureData PipelinesCloud SecurityBig DataData AnalyticsMachine Learning