Data Engineer Company Description

We are a Series A funded recent-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.

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 and data infrastructure that support advanced analytics, AI-driven applications, and cybersecurity platforms. You will work closely with cross-functional teams including data scientists, software developers, and product teams to enable reliable and efficient data processing solutions.

You will be involved in all aspects of the data engineering lifecycle, from data acquisition and transformation to deployment and optimization.

Design, develop,



and maintain scalable and robust data pipelines and ETL workflows.

Build and optimize large-scale data processing systems for structured and unstructured data.

Work extensively with Elasticsearch and data indexing solutions.

Collaborate with cross-functional teams to define data requirements and implement scalable solutions.

Develop and maintain data integration frameworks and automation processes.

Ensure high data quality, integrity, and reliability across systems.

Monitor, troubleshoot, and optimize data pipelines for performance and scalability.

Implement best practices for data engineering, coding standards, testing, and deployment.

Stay updated with emerging technologies and industry trends in data engineering, big data, and analytics.

Bachelor’s degree in Computer Science, Engineering, or a related field.

~3+ years of experience in Data Engineering or related roles.

~ Strong programming experience in P

📌 IT Data Architect (Delhi)
🏢 Innefu Labs
📍 Delhi