Intern Cloud & Data Engineering Intern

Solution Design and Architecture: Collaborate with data engineering and software development teams to design and architect digital twin solutions for edge servers. Consider resource limitations, real-time processing, and scalability.

Real-Time Data Processing: Implement data processing pipelines handling real-time data streams from edge devices. Preprocess data and feed it to digital twin models for analysis and insights.

Performance Monitoring and Optimization: Monitor deployed digital twin solutions on edge servers and identify optimization areas. Collaborate to improve latency, throughput, and system efficiency.

Documentation and Reporting: Document deployment process, configurations, and optimizations. Prepare reports and presentations summarizing deployment progress and performance.

1. Education: Pursuing Master's degree in Data Engineering, Computer Science, Electrical Engineering, or related field.

• Strong Programming Skills: Proficiency in Python, C++, or Java, plus experience in software development and scripting.
• Cloud Computing Knowledge: Experience with Azure or AWS hyperscaler clouds.
• Data Processing and Analytics: Understanding of data processing techniques and familiarity with data analytics tools (e.g., Apache Spark, Hadoop, SQL).
• Deployment and Configuration: Experience configuring and setting up servers (preferably edge servers) and networking concepts.
• Problem-Solving: Analyze complex problems, break them down, and propose innovative solutions for deployment challenges in edge computing.
• Team Player: Strong interpersonal skills for collaborative work in a fast-paced, interdisciplinary team.
• Communication Skills: Effective verbal and written communication for conveying technical concepts to technical and non-technical stakeholders.

What is the last date for applying to the job?

Which countries are accepted for this remote job?