Data Engineer
Jammu, Jammu and Kashmir, India • Posted June 04, 2026
Job Type:
Full-time
Location:
Jammu, Jammu and Kashmir
Posted:
June 04, 2026
Category:
Computer Occupations
Application Deadline:
July 14, 2026
Role Description
Data Engineer
Company Description
Innefu Labs
We are a Series A funded new-age Information Security and Data Analytics company delivering cutting-edge solutions powered by Artificial Intelligence, Predictive Intelligence, Facial Biometrics, and advanced analytics technologies. We take pride in helping organizations adopt innovative security solutions that create measurable business impact.
Recognized among the Top 5 Cyber Excellence Companies globally by the Holger Schulze Awards, Innefu has also earned several prestigious national and international recognitions. Today, more than 100 customers across India trust our solutions, and our growth journey continues with exciting opportunities ahead.
At Innefu, innovation, ownership, and excellence drive everything we do.
Job Description – Data Engineer
As a Data Engineer at Innefu Labs, you will play a critical role in designing, building, and maintaining scalable data pipelines ...
Company Description
Innefu Labs
We are a Series A funded new-age Information Security and Data Analytics company delivering cutting-edge solutions powered by Artificial Intelligence, Predictive Intelligence, Facial Biometrics, and advanced analytics technologies. We take pride in helping organizations adopt innovative security solutions that create measurable business impact.
Recognized among the Top 5 Cyber Excellence Companies globally by the Holger Schulze Awards, Innefu has also earned several prestigious national and international recognitions. Today, more than 100 customers across India trust our solutions, and our growth journey continues with exciting opportunities ahead.
At Innefu, innovation, ownership, and excellence drive everything we do.
Job Description – Data Engineer
As a Data Engineer at Innefu Labs, you will play a critical role in designing, building, and maintaining scalable data pipelines ...
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