We are seeking an experienced Senior Data Engineer to join our team. In this role, you will architect and implement cloud-native data pipelines, optimize platform performance, and ensure seamless scalability across Azure and Kubernetes environments. This is a high-impact opportunity for a senior professional to shape the next generation of our data infrastructure.Key ResponsibilitiesArchitect, build, and optimize scalable data pipelines using Azure Databricks, Azure Data Factory, and Apache AirflowLead the end-to-end data migration, ensuring zero-downtime cutover and data integrityImplement Infrastructure-as-Code with Terraform to provision and manage Azure resources and Kubernetes clustersEstablish monitoring, alerting, and observability standards using Datadog for proactive issue detection and resolutionCollaborate with data scientists, analysts, and platform engineers to translate business requirements into robust technical solutionsNeed to HavesHands-on experience with Azure Databricks and Azure Data Factory in production environmentsProven expertise orchestrating workflows with Apache Airflow and containerizing workloads on KubernetesStrong proficiency in Terraform for cloud infrastructure automationAdvanced monitoring and troubleshooting skills with Datadog or similar observability platformsStrong English skills – able to lead technical discussions and author detailed design documentsDemonstrated leadership in delivering complex data platform migrations or green-field initiatives
#J-18808-Ljbffr