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

Location: Los Angeles, CA 90074
Duration: 6 Months
Experience: 10+ Years
Education: Bachelor's or Master's Degree in Engineering (BE/ME)

Job Description

We 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 Python
• Proficiency in C#, ReactJS, Node.js, and Angular
• Extensive experience with AWS Core Services
• Hands-on experience with Splunk
• Mandatory: Experience with Itential Pronghorn
• Strong knowledge of Kubernetes (K8S) and Docker
• Experience building and managing CI/CD pipelines
• Strong understanding of data engineering and data architecture principles
• Proven experience working in the Telecommunications industry

Key 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.