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Telecom Sector | Data Cloud Engineer

Devoteam
Location
Lisboa, Lisboa, Portugal
Workplace
Hybrid
Employment
Full Time
Salary
Apply on the employer’s site

Posted 6mo ago

  • 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.
  • 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.

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

Skills

  • AWS
  • Azure
  • GCP
  • Python
  • Java
  • SQL
  • Hadoop
  • Spark

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