Full stack Engineer, Cloud-Native Data (Hyderabad)

Job Title: Full stack Engineer, Cloud-Native Data & Platform Engineering Experience: 812 Years Location: Hyderabad & Pune-India Looking for Immediate to 30 days resource About the Role We are looking for a highly skilled Fullstack Engineer who designs and delivers cloud-native data engineering solutions, leads pipeline automation, and has experience on open-source platform architecture and implementation. This role bridges data engineering, backend services, and platform operations combining the depth of a data engineer with the breadth of a platform engineer. You will own end-to-end delivery of data products on GCP, build automation frameworks, and enable engineering teams through reusable platform capabilities and open-source tooling expertise. Key Responsibilities Cloud-Native Data Engineering Design and deliver end-to-end data pipelines: batch, streaming, and micro-batch on GCP-based PaaS infrastructure Build scalable data ingestion, transformation, and serving layers using Apache Spark, Apache Flink, and dbt Implement data lakehouse architectures using Apache Iceberg, Apache Polaris, and Trino on GCS-backed storage Develop reusable data platform components: connectors, pipeline templates, and SDK wrappers for product teams Pipeline Automation & CI/CD Lead the design and implementation of CI/CD pipelines for data workflows using Apache Airflow on GKE Automate infrastructure provisioning for data services using Terraform, Helm, and Kubernetes Operators Build self-service pipeline deployment frameworks enabling teams to onboard, deploy, and monitor without manual intervention Implement GitOps practices using ArgoCD for pipeline version control and workplace promotion: dev staging UAT prod Integrate automated data quality checks, SAST scans, and OPA policy validations into delivery pipelines Backend & API Development Develop backend APIs and microservices using or Spring Boot to expose platform capabilities as managed services Design and implemen Job Title: Full stack Engineer, Cloud-Native Data & Platform Engineering Experience: 812 Years Location: Hyderabad & Pune-India Looking for Immediate to 30 days resource About the Role We are looking for a highly skilled Fullstack Engineer who designs and delivers cloud-native data engineering solutions, leads pipeline automation, and has experience on open-source platform architecture and implementation. This role bridges data engineering, backend services, and platform operations combining the depth of a data engineer with the breadth of a platform engineer. You will own end-to-end delivery of data products on GCP, build automation frameworks, and enable engineering teams through reusable platform capabilities and open-source tooling expertise. Key Responsibilities Cloud-Native Data Engineering Design and deliver end-to-end data pipelines: batch, streaming, and micro-batch on GCP-based PaaS infrastructure Build scalable data ingestion, transformation, and serving layers using Apache Spark, Apache Flink, and dbt Implement data lakehouse architectures using Apache Iceberg, Apache Polaris, and Trino on GCS-backed storage Develop reusable data platform components: connectors, pipeline templates, and SDK wrappers for product teams Pipeline Automation & CI/CD Lead the design and implementation of CI/CD pipelines for data workflows using Apache Airflow on GKE Automate infrastructure provisioning for data services using Terraform, Helm, and Kubernetes Operators Build self-service pipeline deployment frameworks enabling teams to onboard, deploy, and monitor without manual intervention Implement GitOps practices using ArgoCD for pipeline version control and workplace promotion: dev staging UAT prod Integrate automated data quality checks, SAST scans, and OPA policy validations into delivery pipelines Backend & API Development Develop backend APIs and microservices using or Spring Boot to expose platform capabilities as managed services Design and implemen