GCP Data Engineer

Job Title :: GCP Data Engineer

Location :: 100% Remote

Job Description:

• 8+ years of experience in data engineering, with hands-on expertise in designing, building, and maintaining scalable data pipelines.
• Deep expertise in Google Cloud Platform (GCP) services, especially BigQuery, Cloud Storage, Cloud Composer (Airflow), and Dataproc.
• Proficient in building and maintaining ETL/ELT pipelines using Python, SQL, and orchestration tools.
• Strong understanding of distributed data processing frameworks such as Apache Spark and Hadoop.
• Strong understanding of data modeling, data warehousing, and query performance optimization.
• Experience with CI/CD pipelines, infrastructure as code (Terraform, Cloud Deployment Manager), and DevOps practices in a cloud environment.
• Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.
• Develop integrations with external systems (APIs, flat files etc)
• Familiarity with data governance, security, and compliance in cloud-based data platforms.
• Experience with streaming data pipelines using tools like Pub/Sub, Dataflow, or Kafka.
• Required AI background
• Ability to work independently and collaboratively in cross-functional teams, including data scientists, analysts, and product engineers.
• Effective communication skills and a proactive approach to problem-solving.