GCP Data Engineer

Job Description

Role Overview We are seeking a skilled Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and architectures for large-scale data processing. The ideal candidate will have hands-on experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub, and Dataflow , and a strong understanding of data modeling, ETL processes, and streaming/batch data workflows. Key Responsibilities Design and implement data pipelines using Cloud Dataflow (Apache Beam) for batch and streaming data. Develop and maintain data ingestion frameworks leveraging Pub/Sub for real-time data. Optimize and manage BigQuery datasets for analytics and reporting. Integrate data from various sources into Google Cloud Storage and ensure data quality. Collaborate with data analysts, data scientists, and business stakeholders to deliver scalable solutions. Implement data governance, security, and compliance best practices. Monitor and troubleshoot pipeline performance and reliability. Required Skills & Qualifications 3+ years of experience in data engineering or related field. Strong proficiency in GCP services : BigQuery, Cloud Storage, Pub/Sub, Dataflow. Experience with SQL and data modeling . Hands-on experience with Python or Java for data processing. Familiarity with Apache Beam and ETL frameworks . Knowledge of CI/CD pipelines and version control (Git) . Understanding of streaming data architectures and real-time analytics . Preferred Qualifications GCP Professional Data Engineer Certification . Experience with Airflow , Dataproc , or other orchestration tools. Knowledge of machine learning pipelines on GCP. Familiarity with Terraform or Infrastructure as Code . Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, agile environment.