<.>Job Title: 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.