Data Engineer - Google Cloud Platform

GCP Data Engineer :

We are looking for a GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms.

You will work on building and optimizing data workflows, implementing robust data solutions using Google Cloud Platform (GCP) technologies, and collaborating closely with cross-functional teams to deliver high-impact, data-driven insights.

This role requires a deep understanding of data architecture, GCP ecosystem, ETL / ELT processes, and the ability to lead, mentor, and execute with precision.

Key Responsibilities :

• Design, build, and maintain robust data extraction, transformation, and loading (ETL / ELT) pipelines across both on-premises and cloud platforms.
• Develop and support data products, pipelines, and analytical platforms leveraging GCP services.
• Perform application impact assessments, requirement reviews, and provide accurate work estimates.
• Create test strategies and implement site reliability engineering (SRE) measures for data systems.
• Participate in agile development sprints and contribute to solution design reviews.
• Mentor and guide junior Data Engineers on best practices and design patterns.
• Lead root cause analysis and resolution of critical data operations and post-implementation issues.
• Conduct technical data stewardship activities, including metadata management, data security, and privacy-by-design principles.
• Use Python and GCP technologies to automate data workflows and transformations.
• Work with SQL for data modeling, transformations, and analytical queries.
• Automate job scheduling and orchestration using Control-M, Apache Airflow, or Prefect.
• Write Unix shell scripts to support automation and monitoring of data operations.
• Support BI / analytics teams with structured and well-modeled data.
• Use Infrastructure as Code (IaC) tools like Terraform, Ansible, or Puppet for automated deployments and configuration management.

Required Skills & Technologies :

Qualifications :

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