The Data Engineering Level III Qualification by TESDA equips individuals with the skills needed to design, build, and manage scalable data pipelines. This program focuses on ensuring efficient data flow and processing, making it essential for those working with AI, Data Science, machine learning, and other advanced data systems.
Also read: TESDA Data Analytics Level III
By mastering these competencies, professionals can handle complex data challenges and contribute to the development of innovative, data-driven solutions. Whether it’s optimizing data management or supporting cutting-edge technologies, this qualification prepares individuals to excel in a rapidly evolving, data-centric world.
Benefits
Data Engineering Level III Qualification offers several benefits, including:
- Skill Development: Gain expertise in designing, building, and managing scalable data pipelines.
- Career Opportunities: Open doors to roles in AI, Data Science, machine learning, and other data-driven fields.
- Practical Knowledge: Learn to ensure efficient data flow and processing for complex systems.
- Industry Relevance: Stay competitive in the growing field of data engineering.
- Professional Growth: Enhance your qualifications and stand out in a technology-driven job market.
Units of Competency
The Units of Competency comprising this Qualification include the following:
Basic Competencies:
- Lead workplace communication
- Lead small teams
- Apply critical thinking and problem-solving techniques in the workplace
- Work in a diverse environment
- Propose methods of applying learning and innovation in the organization
- Use information systematically
- Evaluate occupational safety and health work practices
- Evaluate environmental work practices
- Facilitate entrepreneurial skills for micro-small-medium enterprises (MSMEs)
Common Competencies:
- Apply quality standards
- Perform computer operations
- Ensure compliance with data privacy and ethics
Core Competencies:
- Apply programming skills for data manipulation
- Design and implement data pipelines
- Validate and ensure data quality
Sample of Certificate of Completion
Career Opportunities
A person who has achieved this qualification is qualified to work as:
- Junior AI Data Engineer
- Artificial Intelligence (AI) Data Technician
- ETL (Extract, Transform, and Load) Developer
- Associate Data Engineer
Requirements
To enroll, you will need the following documents:
- PSA Birth Certificate
- High School or College Diploma
- Certified True Copy of Official Transcript of Records or Form 137
- Certificate of Good Moral Character or GMRC
- 1 x 1 and/or 2 x 2 pictures
To obtain further details, please reach out to the enrollment site that aligns with your requirements. Kindly note that the criteria may vary.
Also read: TESDA Ethical Hacking Level IV Course
Frequently Asked Questions
1. Is there an age limit for enrolling in TESDA Data Engineering Level III Qualification?
A: There is no specific age limit, as long as the applicant meets the educational and documentary requirements.
2. Do I need prior experience in data engineering to enroll?
A: No, this qualification is open to individuals with or without experience in data engineering. However, having knowledge in mathematics, statistics, and programming will be beneficial.
3. What career opportunities can I pursue after completing this qualification?
A: Graduates of this program can explore roles such as Junior AI Data Engineer, ETL Developer, Artificial Intelligence (AI) Data Technician, and Associate Data Engineer. However, the specific opportunities may vary depending on the individual’s skills and experience.
4. Can I enroll in this qualification online?
A: As of now, TESDA Data Engineering Level III Qualification is only offered through physical classes in accredited training centers. Click HERE to learn more.
5. Are there any financial assistance programs available for this qualification?
A: TESDA offers various scholarship programs and financial assistance to qualified individuals. Click HERE to learn mo.
Summary
The Data Engineering Level III Qualification offered by TESDA provides individuals with the necessary skills and knowledge to design, build, and manage scalable data pipelines. It offers several benefits, including skill development, career opportunities, practical knowledge, industry relevance, and professional growth. The Units of Competency cover basic competencies, common competencies, and core competencies. Graduates can pursue various roles in AI, Data Science, machine learning, and other data-driven fields. Interested individuals must meet specific requirements and can also explore financial assistance programs offered by TESDA. Overall,this qualification equips individuals with valuable skills that are in high demand in today’s technology-driven world.
