Cloud-Native Data Pipelines Virtual Internship
In this advanced virtual internship, students will learn to build scalable, event-driven data processing pipelines on major cloud platforms. They will gain hands-on experience with cloud architecture, serverless computing, and data engineering best practices. Upon completion, students will be equipped with the skills to design and implement robust, cloud-native data pipelines that can handle large-scale data processing and streaming workloads.
Track Overview
Tasks & Milestones
Assess Cloud-Native Data Pipeline Requirements
AdvancedIn this task, students will analyze a real-world business scenario and identify the key requirements for a cloud-native data pipeline.
Implement a Serverless Data Ingestion Pipeline
AdvancedIn this task, students will build a serverless data ingestion pipeline using cloud-native services.
Implement Serverless Data Transformation
AdvancedIn this task, students will build a serverless data transformation pipeline using cloud-native services.
Implement Pipeline Orchestration
AdvancedIn this task, students will build a pipeline orchestration solution using cloud-native services.
Implement Monitoring and Alerting
AdvancedIn this task, students will set up monitoring and alerting for their cloud-native data pipelines.
Implement Infrastructure as Code for Data Pipelines
AdvancedIn this task, students will use infrastructure as code to deploy and manage their cloud-native data pipelines.
Containerize and Deploy Data Pipelines
AdvancedIn this task, students will containerize and deploy their cloud-native data pipelines using container-based technologies.
Prerequisites
- • Proficiency in a programming language (e.g., Python, Java, or Node.js)
- • Basic understanding of cloud computing concepts
- • Experience with data processing tools and frameworks
Certificate
Certificate of Completion
Earn a certificate upon successful completion