Data Engineer InternAt — Onix Networking Corp.
Develop data-driven solutions with Cloud based technologies to meet evolving business needs. Deliver impactful, scalable, and highly performant Data solution to our customers based in US, UK, Canada and India based customers Provide technical design and develop Extract/Transform/Load (ETL) applications that interface with Datametica’s customer applications.
Posted by 05/09/25
- Apply academic knowledge to real-world tasks and challenges.
- Develop effective communication skills in a professional setting.
- Strengthen time management and organizational abilities.
- Gain experience in working collaboratively within a team.
- Acquire hands-on experience with industry-specific tools, software, or procedures.
- Understand workflows, processes, and responsibilities relevant to the field.
- Learn how to conduct research, analyze data, or support projects in a practical context.
- Clarify career goals by experiencing a professional work environment.
- Build a professional network by connecting with mentors, colleagues, and supervisors.
- Develop a strong understanding of workplace culture and expectations.
- Practice decision-making in real-life work situations.
- Analyze problems, propose solutions, and reflect on outcomes.
- Develop adaptability in response to new challenges and tasks.
- Recognize how your role and organization contribute to the community or public good.
- Reflect on ethical and societal implications of the work you're involved in.
- Explore opportunities to engage in or support civic initiatives or community outreach.
- Identify personal strengths and areas for improvement.
- Set learning goals and reflect regularly on progress
- Increase confidence in navigating professional and interpersonal dynamics.
Students will undergo onboarding sessions that introduce them to the Google Cloud Platform (GCP), including key services such as BigQuery, Cloud Storage, and Cloud Composer. They will receive hands-on training in our internal data engineering workflows, coding standards, version control using Git, and pipeline architecture. Additionally, guided walkthroughs and documentation will be provided to help them understand how to interpret legacy data transformation logic (e.g., Teradata ESQL) and translate it to modern cloud solutions. Students will also be trained on monitoring tools, query optimization techniques, and best practices in data validation and security.
n/a
Student Training or Experience Needed
- Effective interpersonal and communication skills.
- Effective problem-solving skills.
- Ability to collaborate and work effectively in a team setting.
- Ability to take initiative and be self-motivated and self-directed.
- Ability to review and learn materials provided.
| Hours | Duration |
|---|---|
| 20 | hours per week |