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GCP Data Engineer

ThreatXIntel India
Remote
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AI Summary

Design, develop, and maintain scalable data pipelines on Google Cloud Platform. Build and manage workflow orchestration using Apache Airflow. Develop and optimize complex SQL queries in BigQuery.

Key Highlights
Design scalable data pipelines
Build workflow orchestration
Optimize SQL queries
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
Build and manage workflow orchestration using Apache Airflow.
Develop and optimize complex SQL queries in BigQuery.
Perform data ingestion, transformation, validation, and quality checks.
Optimize data warehouse performance and ensure data reliability.
Troubleshoot pipeline failures and production data issues.
Collaborate with data analysts, data scientists, and engineering teams.
Technical Skills Required
Google Cloud Platform Apache Airflow SQL
Benefits & Perks
Remote work
Freelance employment
Nice to Have
Cloud Storage
Dataflow
Pub/Sub
Apache Spark
Data Modeling
Data Quality Frameworks
Git
CI/CD
Terraform

Job Description


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

🏠 Work Mode: Fully Remote

Experience Required: 3+ Years


About the Role

We are seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform, Apache Airflow, BigQuery, SQL, and Python to design, develop, and maintain scalable data pipelines. The ideal candidate will have hands-on experience building ETL/ELT workflows, optimizing data platforms, and supporting analytics solutions using modern cloud data technologies.


Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
  • Build and manage workflow orchestration using Apache Airflow.
  • Develop and optimize complex SQL queries in BigQuery.
  • Create Python-based data processing and automation scripts.
  • Perform data ingestion, transformation, validation, and quality checks.
  • Optimize data warehouse performance and ensure data reliability.
  • Troubleshoot pipeline failures and production data issues.
  • Collaborate with data analysts, data scientists, and engineering teams.
  • Maintain documentation for data pipelines and processes.


Required Skills & Experience

Mandatory Skills

✅ Google Cloud Platform (GCP)

✅ BigQuery

✅ Apache Airflow

✅ SQL

✅ Python

✅ Data Engineering

✅ ETL/ELT Pipeline Development

✅ Data Warehouse Concepts


Preferred Skills

  • Cloud Storage (GCS)
  • Dataflow
  • Pub/Sub
  • Apache Spark
  • Data Modeling
  • Data Quality Frameworks
  • Git
  • CI/CD
  • Terraform



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