Intern - Data engineering

Reposted 18 Hours Ago
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Hyderabad, Telangana
In-Office
Internship
Artificial Intelligence
The Role
The Intern - Data Engineering supports data needs by creating and maintaining dashboards and databases, working with project teams on specific data requirements.
Summary Generated by Built In

About Centific

At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills,

and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people

– from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed.

About Job

Overview
The Associate Data Engineer is responsible for data support. They create the dashboards used in projects and maintain existing databases. Associate Data Engineers work directly with project teams to support all data needs. Entry-level position.
Duties and Responsibilities
• Creating dashboards and data structure.
• Maintenance of existing databases.
• Works with project teams to create project specific dashboards.
• Additional duties as required.
Requirements
• College/University degree, in computer science or data science a plus.
• Basic familiarity with Microsoft Office 365 including Outlook, Excel, and PowerPoint.
• General knowledge of online communication.
• Basic knowledge of BI software, i.e., PowerBI, Elastic.
• Willingness to work overtime if necessary.
• Remote, office, or hybrid work environment depending on specific position.

Join a growing company using technology to help tackle enterprises’ toughest challenges.

Top Skills

Elastic
Microsoft Office 365
Power BI
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The Company
HQ: Redmond, WA
2,900 Employees

What We Do

Zero distance innovation for GenAI creators and industries

Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment

We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers.

We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases.

These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.

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