Data Engineer Intern
5 days ago
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.
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.
· 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.
Tell employers what skills you have
DevOps
Pipelines
Data Pipeline
Semiconductor Industry
Manufacturing Processes
Data Security
Data Quality
Computer Vision
Data Engineering
SQL
System Administration
Data Architecture
Cloud
Internet of Things
Metadata
Screening
Python Programming
Data Analytics
Manufacturing
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