GCP Data Engineer

Position OverviewOur client is seeking a GCP Data Engineer to design, build, and optimize scalable data pipelines and cloud-native data platforms using Google Cloud Platform (GCP).In this role, you will collaborate with Data Architects, Analysts, Data Scientists, and business stakeholders to deliver high-quality, reliable, and secure data solutions. These solutions will support enterprise analytics, digital transformation, and machine learning initiatives.Key ResponsibilitiesData Engineering & Cloud DevelopmentDesign, build, and maintain large-scale, high-performance data pipelines using GCP services, including BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Run.Develop ETL/ELT workflows using Apache Beam, Spark, or Python.Implement cloud-native data architectures, including data lakes, data marts, and enterprise data warehouses.Optimize data models for performance, cost efficiency, and scalability.Data Integration & AutomationIntegrate data from a wide variety of internal and external sources using both batch and streaming processes.Automate data quality checks, schema validation, and data lineage tracking.Build reusable frameworks and templates to accelerate pipeline development.Collaboration & SupportPartner with application teams, product owners, and analysts to understand business data needs.Support Data Scientists by enabling feature pipelines, machine learning datasets, and efficient training data flows.Troubleshoot production data pipeline issues and implement long-term improvements.

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Required QualificationsBachelor's degree in Computer Science, Information Systems, Engineering, or a related field.3–6 years of hands-on experience as a Data Engineer or in a similar role.Strong expertise in Google Cloud Platform (GCP), particularly BigQuery, Dataflow, Pub/Sub, and Cloud Storage.Proficiency in Python, SQL, and one or more frameworks such as Apache Beam or Spark.Experience with Airflow/Cloud Composer orchestration workflows.Solid understanding of data modeling, distributed systems, and ETL/ELT best practices.Familiarity with CI/CD, Terraform, Git, or related DevOps tools.
Preferred QualificationsGoogle Cloud Professional Data Engineer certification.Experience with streaming platforms such as Kafka or Pub/Sub.Knowledge of machine learning pipelines using Vertex AI or similar platforms.Experience working in enterprise retail or large-scale operational data environments. xzbcwsv Familiarity with data governance tools such as Data Catalog, Collibra, or Alation.