GCP Data Engineer

Job Profile: GCP Data Engineer

Job Type: Long-time based contract Job Opportunity

Location: 100% Remote in Brazil

Job Description:

Job Description:

Job Summary

We are seeking a skilled Data Engineer with strong experience in Google Cloud Platform (GCP) to design, build, and optimize scalable data solutions. The ideal candidate will have hands-on experience with GCP data services, hold a relevant Google Cloud Professional certification, and possess a Data Architect certification. This role requires a minimum of 2–3 years of practical GCP experience in production environments.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes on Google Cloud Platform.
• Build and optimize data architectures using GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc.

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• Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets.
• Implement data modeling, partitioning, clustering, and performance tuning strategies.
• Ensure data quality, integrity, governance, and security across platforms.
• Develop automation for data workflows using Infrastructure as Code and CI/CD practices.
• Monitor, troubleshoot, and optimize data processing jobs and cloud resources.
• Support real-time and batch data processing solutions.

Required Qualifications

• 2–3+ years of hands-on experience with Google Cloud Platform.
• Relevant Google Cloud Professional Certification (e.g., Professional Data Engineer).
• Data Architect certification (required).
• Strong experience with BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage.

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• Proficiency in SQL and at least one programming language (Python, Java, or Scala).
• Experience with data modeling, warehousing, and distributed systems.
• Knowledge of CI/CD pipelines and DevOps practices.

Preferred Skills

• Experience with real-time streaming architectures.
• Knowledge of data governance and security best practices.
• Familiarity with Terraform or other Infrastructure as Code tools.
• Experience working in Agile environments.

Education

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