Data Engineer
Clarifai · Gurugram · onsite · Posted 2d ago
About a minute. You'll make an account on the way through.
About this role
Responsibilities:
- Build and own the data systems that power ClariFi's operations, reporting, and decision-making.
- Build data pipelines: Ingest, clean, transform, and validate data from multiple sources.
- Automate workflows: Replace repetitive manual processes with reliable, automated systems.
- Reconcile data: Identify and resolve discrepancies across application, approval, attribution, and payout data.
- Integrate systems: Work with APIs, databases, and external platforms to move data reliably.
- Improve reliability: Debug issues, handle exceptions, and make systems more accurate and scalable.
Requirements:
- Strong problem-solving skills. You can break down unfamiliar problems, think logically, and learn quickly.
- Strong mathematical aptitude and analytical thinking.
- Working knowledge of spreadsheets, SQL, Python, APIs, and workflow automation tools such as n8n.
- Ability to debug independently and build reliable solutions.
- High ownership. You take problems from understanding to implementation without constant supervision.
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Skills
About Clarifai
Clarifai
51-200
employees
2013
13 years old
Wilmington, North Carolina
United States
₹17.1L PA avg
Avg at Clarifai
About
Clarifai is an independent artificial intelligence company that specializes in computer vision, natural language processing, and audio recognition. One of the first deep learning platforms having been founded in 2013, Clarifai provides an AI platform for unstructured image, video, text, and audio data. Its platform supports the full AI lifecycle for data exploration, data labeling, model training, evaluation, and inference around images, video, text, and audio data. Headquartered in Washington DC and with employees in the US, Canada, Argentina, Estonia, and India Clarifai uses machine learning and deep neural networks to identify and analyze images, videos, text, and audio automatically. Clarifai enables users to implement AI technology into their products via API, Mobile SDK, and/or on-premise solutions.
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