You will design and implement scalable data platforms, ETL/ELT pipelines, and analytics solutions to support data-driven decision-making. The role involves collaborating with architects and stakeholders in an Agile environment to modernize data infrastructure and integrate enterprise systems.
The Senior DevOps Engineer will design, implement, and manage Red Hat OpenShift clusters while collaborating with development teams to optimize CI/CD pipelines and containerized workflows. They are also responsible for maintaining infrastructure reliability, performing system administration tasks, and ensuring security compliance across the platform.
Design scalable data solutions and integrate data from multiple sources, creating datasets and architectures for analytics and reporting. Gather business requirements, develop data models and ETL/ELT processes, ensure performance and data quality, collaborate with stakeholders, and support backend development when needed.
Design and implement backend services for telecom network management solutions while developing TMF-compliant APIs. Collaborate with cross-functional teams to integrate services with databases and ensure high code quality through unit tests and CI pipelines.
The role involves designing, implementing, and managing Red Hat OpenShift clusters in on-premises environments while collaborating with development teams to optimize deployment workflows. Additionally, the engineer will maintain CI/CD pipelines, automate operational tasks, and ensure high availability through monitoring and troubleshooting.
Design, implement, and manage Red Hat OpenShift clusters in on-premises environments while automating deployment tasks using Ansible. Collaborate with development teams to optimize CI/CD pipelines and ensure high availability through monitoring and disaster recovery strategies.
Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data governance standards.
Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.
Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.
Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.
Design and deliver end-to-end data platforms and scalable ETL/ELT pipelines for analytics, BI, and AI-ready products. Collaborate with stakeholders to implement lakehouse architectures while mentoring engineers and ensuring data quality and security standards.
Design and implement scalable ETL/ELT pipelines and modern data platforms using Databricks and Azure. Collaborate with architects and stakeholders in an Agile environment to deliver analytics-ready datasets for BI and AI workloads.
Design and implement modern data platforms, scalable pipelines, and analytics solutions using Microsoft Fabric and Databricks. Develop ETL/ELT processes and maintain medallion architectures to enable data-driven decision making.
