GST registration required! B2B contract
Key Responsibilities
Google Cloud Engineering
- Design, implement, and manage large-scale cloud infrastructure on Google Cloud Platform .
- Ensure cloud environments follow best practices for security , operations , and networking .
- Automate deployment, configuration, and resource management across GCP services.
Data Engineering & Modeling
Build and optimize data pipelines , ETL / ELT processes , and DBT models .Ensure performance, cost efficiency, data quality, and reliability in all data transformations.Implement Python-based data ingestion pipelines.DataOps, SRE & Platform Engineering Responsibilities
Develop automation to improve platform reliability, scalability, and operational efficiency.Maintain end-to-end monitoring, logging, and alerting systems.Conduct root cause analysis , troubleshoot performance issues, and ensure high availability.Support cloud operations and participate in on-call rotations when required.DevOps Integration
Implement CI / CD processes for data pipelines and cloud workflows.Drive infrastructure-as-code and automation-first practices.Improve cloud deployment reliability and reduce manual operational tasks.Networking & Security
Collaborate on secure, scalable networking solutions within the cloud environment.Apply best practices for identity, access, compliance, and cloud governance.Required Skills & Experience
Strong hands-on experience with Google Cloud Platform (GCP) .Expertise in DBT , Python , and SQL for data transformation, ingestion, and analytics.Solid understanding of cloud networking , security , and operational constraints .Experience with ETL / ELT pipelines , data modeling, and performance optimization.Background in DataOps, SRE, Platform Engineering, or DevOps.Strong troubleshooting and incident resolution skills.Familiarity with monitoring, logging, alerting, and observability tooling.Ability to work independently with a proactive, ownership-driven mindset.