About Innowave Tech
Innowave Tech: MANUFACTURING SIMPLIFIED
Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in developing cutting-edge technologies for innovation and efficiency. Our focus is on computer vision and large-scale data analytics to meet the complex needs of our clients in the advanced manufacturing and semiconductor industry.
Job Description:
As a Data Engineer Intern (Equipment Health Analytics), you will develop data architecture and infrastructure for industrial IoT data. You will collaborate with cross-functional teams to build and maintain scalable and reliable data storage and data pipeline. This role offers a unique opportunity to work with innovative technologies and make a meaningful impact in a fast-evolving industry and is ideal for candidates with strong data engineering skills and interest in AI applications.
Key Responsibilities:
1. Design and implement multi-tenant data architecture for equipment sensor data.
2. Implement and maintain storage solutions across cloud and on-premises systems.
3. Build data quality validation frameworks and metadata management systems.
4. Document technical processes and data flows.
Requirements / Qualifications:
· Minimum Poly, Bachelor’s, or Master’s degree in Data Engineering, Computer Science, or related field.
· Self-motivated learner who quickly adapts to new tools and technologies.
· Strong problem solver with proven ability to complete complex tasks.
· Detail-oriented with high standards for work quality.
· Excellent communicator and team collaborator.
· Internship duration should be at least 3 months full time.
· Resume should indicate your forecasted internship dates.
Required Skill Sets:
· Python programming
· SQL and NoSQL databases
· Message queues or Redis
· Storage solutions: Cloud (Azure Blob, AWS S3) or On-premises (Ceph, MinIO)
· Data lake concepts and implementations
· Linux shell scripting and system administration
· Knowledge of the following is a plus:
- IoT data and manufacturing processes
- Basic understanding of data security principles
- Familiarity with DevOps practices
Screening questions:
• The intended internship period will be during your course of study?
• Are you students pursuing Computer Science disciplines?
• Are you able to commit for more than 3 months?
Outcome of Technical Skills and Competencies that Intern will learn:
· To identify and translate business and technical requirements into data architectures.
· To develop proficiency and practical experience in cloud and on-premises storage solutions.
· To build and maintain data pipelines while documenting technical processes and data flows effectively.
· To gain hands-on experience with tools and system administration for data engineering tasks.
· To collaborate effectively with stakeholders while adapting to new technologies and solving complex data engineering problems within deadlines.
