Data Cloud Engineer
Job Summary
Architect and develop scalable, high-performance cloud-based data solutions for telecom applications. Implement and optimize big data processing pipelines while collaborating with cross-functional teams. Ensure data security, compliance, and maintain CI/CD pipelines to support business intelligence initiatives.
Responsibilities
- Architect cloud-based data solutions
- Optimize big data processing pipelines
- Ensure data security and compliance
- Maintain CI/CD infrastructure
- Mentor junior team members
Required Skills
- Cloud Platforms (AWS, Azure, GCP)
- Python, Java, SQL
- Big Data (Hadoop, Spark)
- Telecom network protocols
- Data modeling and analytics
- CI/CD and IaC
Job Details
Job Description:
- Architect and develop scalable, high-performance cloud-based data solutions for telecom applications;
- Implement and optimize big data processing pipelines using cutting-edge technologies;
- Collaborate with cross-functional teams to integrate cloud solutions with existing telecom infrastructure;
- Ensure data security, privacy, and compliance with industry regulations;
- Design and implement data models to support analytics and business intelligence initiatives;
- Develop and maintain CI/CD pipelines for efficient deployment of cloud solutions;
- Troubleshoot and resolve complex technical issues in cloud environments;
- Stay up-to-date with emerging trends in cloud technologies and telecom data management;
- Provide technical guidance and mentorship to junior team members.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field;
- 3+ years of experience in cloud engineering, preferably in the telecommunications sector;
- Proficiency in cloud platforms such as AWS, Azure, or Google Cloud;
- Strong programming skills in languages like Python, Java, and SQL;
- Experience with big data technologies including Hadoop and Spark;
- Solid understanding of telecom network protocols and architectures;
- Expertise in data modeling, analytics, and visualization;
- Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) practices;
- Cloud certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer) are a plus.