Data Engineer – GCP, BigQuery, Python (India)

About the Company

ThreatXIntel is a fast-growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. Our expertise spans cloud security, web & mobile application security testing, DevSecOps, vulnerability assessments, IT consulting, and professional staffing services.

We support global corporate clients by deploying skilled professionals across IT and finance domains, helping organizations strengthen compliance, optimize operations, and scale efficiently.

📍 Location: Remote

💼 Employment Type: Freelance / Contract

🏠 Work Mode: Remote

⏳ Experience Required: 5+ Years

About the Role

We are looking for a skilled Data Engineer to join our AI and Data Engineering team. The ideal candidate will have solid experience building scalable data pipelines, cloud-native data solutions, and data platforms using Google Cloud Platform (GCP) technologies.

You will collaborate with Data Scientists, AI Engineers, and DevOps teams to design, develop, and optimize robust data workflows that support advanced analytics, machine learning, and enterprise-grade data operations.

Key Responsibilities

Data Engineering & Pipeline Development

Design, develop, and maintain scalable ETL/ELT pipelines using GCP services.

Build data ingestion workflows from multiple clinical, research, and third-party data sources.

Develop batch and streaming data pipelines with scalable and fault-tolerant architectures.

Create and optimize SQL and Python-based data transformations.

Implement data validation, monitoring, and quality frameworks.

Google Cloud Platform

Develop solutions using

Google Cloud Data Fusion

Cloud Dataflow

BigQuery

Pub/Sub

Cloud Storage

Cloud Composer

Cloud Functions

Optimize data storage, partitioning, and lifecycle management.

Support cloud-based data warehouse architecture.

Collaboration & Data Governance

Work closely with Data Scientists and ML Engineers for model training and feature data pipelines.

Ensure data quality, lineage,