Cloud Infrastructure Specialist

2 days ago


Koṭa, India beBeeDataEngineer Full time

Cloud Infrastructure EngineerGST registration is required for all business-to-business (B2B) contracts.Key ResponsibilitiesDesign, implement, and manage large-scale cloud infrastructure on Google Cloud Platform.Evaluate and ensure that cloud environments adhere to industry best practices for security, operations, and networking.Automate deployment, configuration, and resource management across GCP services to enhance efficiency.Data Engineering & ModelingBuild and optimize data pipelines, ETL/ELT processes, and DBT models to streamline data transformations.Maintain the performance, cost-effectiveness, data quality, and reliability of all data transformations.Develop Python-based data ingestion pipelines to facilitate seamless data integration.DataOps, SRE & Platform Engineering ResponsibilitiesImplement automation to improve platform reliability, scalability, and operational efficiency.Maintain end-to-end monitoring, logging, and alerting systems to ensure proactive issue detection.Conduct root cause analysis, troubleshoot performance issues, and guarantee high availability.Support cloud operations and participate in on-call rotations when necessary.DevOps IntegrationEstablish CI/CD processes for data pipelines and cloud workflows to streamline deployments.Drive infrastructure-as-code and automation-first practices to enhance efficiency.Improve cloud deployment reliability and reduce manual operational tasks by leveraging automation.Networking & SecurityCollaborate on secure, scalable networking solutions within the cloud environment.Apply industry best practices for identity, access, compliance, and cloud governance to maintain a secure environment.Required Skills & ExperienceHands-on experience with Google Cloud Platform (GCP).Expertise in DBT, Python, and SQL for data transformation, ingestion, and analytics.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.



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