Distinguished Data Engineering Professional

2 weeks ago


aligarh, India beBeeDataEngineer Full time

Job TitleA scalable data engineer will design, develop and maintain scalable data pipelines and platform services using Python, Apache Spark, Databricks.The role involves developing and managing notebook-based workflows for data processing, analysis and automation.You will build and optimize data integration workflows and reusable components for ingestion, transformation, and orchestration on Kubernetes.Additionally, you will deploy and manage workloads on AWS, GCP or Azure and collaborate with data science, application and platform teams to deliver efficient and robust data services.This position offers an exciting opportunity to contribute to the growth of a world-class development center.Key ResponsibilitiesData Pipeline Design - Design and develop scalable data pipelines and platform services using Python, Apache Spark, and Databricks.Workflows Development - Develop and manage notebook-based workflows (Jupyter, Databricks, etc.) for data processing, analysis, and automation.Integration Workflows - Build and optimize data integration workflows and reusable components for ingestion, transformation, and orchestration.Cloud Management - Deploy and manage workloads on Kubernetes, ensuring scalability and reliability.Cloud-Native Solutions - Implement and maintain cloud-native solutions on AWS, GCP, or Azure.Collaboration - Collaborate with data science, application, and platform teams to deliver efficient and robust data services.Automation - Drive automation, observability, and CI/CD improvements across the platform



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