Skill diminta
AWSAirflowAzureDockerEnglishGCPGoogle WorkspaceJavaKubernetesMentoringPythonSAPSparkTensorFlow
Deskripsi
Responsibilities
- Execute the duties of the Tridharma.
- Champion the accreditation process.
- Teach Information Systems courses with a specific focus on Data Engineering and Data Science.
- Develop and deliver curriculum for Information Systems subjects.
- Provide faith-based mentoring and academic guidance to students.
- Participate in academic and administrative activities.
- Serve as an advisor for the campus Information System.
- Collaborate on projects, primarily at the international level.
- Conduct research and publish in reputable journals.
Minimum Qualifications
- Master’s degree in Information System, Data Science, Computer Science, Industrial Engineering, or related fields.
- Demonstrated ability to teach and communicate effectively in English, as the medium of instruction at JIU is 100% English.
- Knowledge of or prior experience with academic accreditation processes.
- Strong knowledge or practical experience in Data Engineering and Data Science.
- Strong knowledge or practical experience in Cloud (AWS, Google Cloud, or Azure)
- Experience in working in a diverse, multicultural environment.
- Proficiency in using Google Workspace and/or other productivity tools.
- Proficiency in Python and Java programming.
- Proficiency in Tensorflow and Keras.
Preferred qualifications
- Professional-level Cloud Certification (AWS, Google Cloud, Azure, or others).
- Ph.D. degree in Information Systems, Data Science, Computer Science, Operations Research, Industrial Engineering, or related fields.
- Experience in working as a Head of Department (KaProdi/Kepala Program Studi) or Dean.
Experience and proficiency in any of the fields below
- Data Pipeline products (Beam, Spark, HDFS, Airflow, Kafka, etc.).
- Distributed systems and Kubernetes (Docker, GKE, Knative, Istio, etc.).
- ERP systems (SAP).
- Optimization theory (Linear Programming, Mix-integer Programming).
- Cloud Architecture and/or Data Pipelining.
- Machine Learning and Artificial Intelligence.