Senior Data Engineer / Data Architect (AWS, Python, Telecom)

Senior Data EngineerWe are seeking a highly experienced Senior Data Engineer with strong data architecture expertise to design, develop, and optimize enterprise-scale data platforms. The ideal candidate will have extensive hands-on experience with modern cloud technologies, programming frameworks, DevOps practices, and a strong background in the Telecom domain.Required Skills:10+ years of overall IT experience (15+ years preferred)Strong hands-on experience with PythonProficiency in C#, ReactJS, Node.js, and AngularExtensive experience with AWS Core ServicesHands-on experience with SplunkMandatory: Experience with Itential PronghornStrong knowledge of Kubernetes (K8S) and DockerExperience building and managing CI/CD pipelinesStrong understanding of data engineering and data architecture principlesProven experience working in the Telecommunications industryKey Responsibilities:Design and implement scalable cloud-based data engineering solutions.Develop and optimize data pipelines using modern programming languages and AWS services.Build and maintain CI/CD pipelines for efficient application deployment.Deploy and manage containerized applications using Docker and Kubernetes.Utilize Splunk for monitoring, troubleshooting, and log analysis.Integrate and automate network workflows using Itential Pronghorn.Collaborate with cross-functional teams to deliver high-quality data solutions.Provide architectural guidance and technical leadership for enterprise data initiatives.Preferred Qualifications:Strong problem-solving and analytical skills.Experience leading technical design discussions and mentoring engineering teams.Excellent communication and stakeholder management skills.Experience working in Agile development environments.