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Data Engineer

BhaiFi - Reimagining Networks

3 - 5 years

0 Lacs

gurgaon haryana india

Posted:4 hours ago| Platform:

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Skills Required

data networks ai cybersecurity lean network security management firewall vpn learning ml developer support model deployment design processing preprocessing engineering storage elasticsearch devops testing strategies integrity flow software programming python hadoop spark hive sql database postgresql mysql mongodb pipeline apache airflow retrieval kafka git etl analytics containerization orchestration docker kubernetes jenkins gitlab

Work Mode

On-site

Job Type

Full Time

Job Description

BhaiFi Networks Private Limited

is a leading provider of AI-powered cybersecurity solutions, designed to safeguard businesses - especially small and medium-sized enterprises (SMEs) - against evolving digital threats. Founded in 2017, our mission is to democratize cybersecurity by making enterprise-grade protection accessible and easy to use for businesses of all sizes, even those with lean or non-technical teams.We offer two flagship products:

BhaiFi – AI-Powered Guest WiFi: https://bhaifi.ai
FirewallX – An AI-First Network Security and Management Platform: https://firewallx.ai

With features like advanced firewall protection, intrusion detection, secure VPN, real-time threat intelligence, and more, we help our customers secure their networks with ease. We’re a lean, high-impact team redefining how modern cybersecurity is built.

Requirements

Job Description: The Data Engineer will be responsible for designing, implementing, and maintaining the data infrastructure that powers our network security machine learning project. This role involves creating efficient data pipelines, ensuring data quality, and collaborating closely with the Data Scientist Lead and ML/LLM Developer and to support model deployment and operation.Key Responsibilities:

Design and implement scalable data pipelines for ingesting and processing network security data
Perform data preprocessing and feature engineering to prepare data for machine learning models
Set up and manage data storage solutions, including Elasticsearch
Handle model deployment and implement DevOps practices
Develop comprehensive testing strategies for data pipelines and deployed models
Ensure data quality, integrity, and availability for machine learning models
Collaborate with the team to optimize data flow and model performance

Required Skills:

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
3-5 years of experience in data engineering
Strong programming skills in Python
Expertise in big data technologies (Hadoop, Spark, Hive)
Proficiency in SQL and experience with various database systems (PostgreSQL, MySQL, MongoDB)
Experience with data pipeline tools (Apache Airflow)
Familiarity with Elasticsearch for efficient data storage and retrieval
Experience with stream processing frameworks (Apache Kafka, Apache Flink)
Proficiency in version control systems (Git)
Understanding of data modelling and ETL processes
Experience with real-time data processing and analytics
Knowledge of machine learning deployment processes
Familiarity with network protocols and security concepts
Experience with containerization and orchestration (Docker, Kubernetes)
Experience with CI/CD tools (Jenkins, GitLab CI)

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Data Engineer