Data Engineer with focus of Machine Learning (m/f/d) - Qualcomm Unterschleissheim

Skills and Experience

• 4-6+ years of proven hands-on experience using infrastructure and configuration management tools such as Terraform, Ansible, and others.
• 4-6+ years of proven hands-on experience using Docker and Kubernetes.
• 4-10+ years of proven hands-on experience in writing clean, well-documented, reusable code in Scala, Java, JavaScript, Python, or similar languages, with other languages being beneficial.
• Understanding of data platform architecture concepts.
• Proven hands-on experience with cloud platforms like AWS, Azure, or GCP.