Jobs → Data & Analytics → Google Cloud Platform (GCP) Data Engineer

About the Role We are looking for an experienced GCP Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions using Google Cloud Platform. Key Responsibilities • Design, develop, and maintain scalable data pipelines on GCP • Build and optimize ETL/ELT workflows using Cloud Dataflow, Dataproc, and Data Fusion • Work extensively with BigQuery for data warehousing, transformation, and performance optimization • Develop data processing solutions using Python, PySpark, and SQL • Implement data integration using Pub/Sub and Cloud Composer (Airflow) • Work with Cloud Storage (GCS) for data ingestion and management • Ensure data quality, security, governance, and reliability • Collaborate with business analysts, architects, and cross-functional teams • Monitor and troubleshoot data pipelines and optimize performance Requirements • Strong hands-on experience with Google Cloud Platform (GCP) • Expertise in BigQuery, Dataflow, Dataproc, and Cloud Storage • Strong programming skills in Python and SQL • Experience with PySpark and distributed data processing • Hands-on experience building ETL/ELT pipelines • Knowledge of Cloud Composer / Apache Airflow • Experience with real-time and batch data processing • Understanding of data warehousing and data modeling concepts • Familiarity with Git, CI/CD, and DevOps practices Preferred Qualifications • Google Professional Data Engineer Certification • Experience with Terraform and Infrastructure as Code • Knowledge of Kafka, Pub/Sub, and streaming technologies • Experience working in Agile environments