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Job Title


GCP Data Engineer


Company : RandomTrees


Location : Hyderabad, Telangana


Created : 2025-04-08


Job Type : Full Time


Job Description

Immediate #HIRING for a highly motivated and experienced GCP Data Engineer to join our growing team. We’re a leading software company specializing in Artificial Intelligence, Machine Learning, Data Analytics, Innovative data solutions, Cloud-based technologies If you're passionate about building robust applications and thrive in a dynamic environment, please share your resume at Job Title: GCP Data Engineer Experience : 6 to 7Yrs Notice: Immediate Location: Hyderabad/ Chennai - Hybrid Mode Job Type: Full-time Employment Job Description: We are looking for an experienced GCP Data Engineer to design, develop, and optimize data pipelines and solutions on Google Cloud Platform (GCP) . The ideal candidate should have hands-on experience with BigQuery, DataFlow, PySpark, GCS, and Airflow (Cloud Composer) , along with strong expertise in building scalable data architectures. Key Responsibilities: Design and develop scalable ETL/ELT data pipelines using DataFlow (Apache Beam), PySpark, and Airflow (Cloud Composer) . Work extensively with BigQuery for data transformation, storage, and analytics. Implement data ingestion, processing, and transformation workflows using GCP-native services. Optimize and troubleshoot performance issues in BigQuery and DataFlow pipelines. Manage data storage and governance using Google Cloud Storage (GCS) and other GCP services. Ensure data quality, security, and compliance with industry standards. Work closely with data scientists, analysts, and business teams to provide data solutions. Automate workflows, monitor jobs, and improve pipeline efficiency. Required Skills: ✔ Google Cloud Platform (GCP) Data Engineering (GCP DE Certification preferred) ✔ BigQuery – Data modeling, query optimization, and performance tuning ✔ DataFlow (Apache Beam) – Stream and batch processing ✔ PySpark – Data processing and transformation ✔ GCS (Google Cloud Storage) – Data storage and management ✔ Airflow / Cloud Composer – Workflow orchestration and scheduling ✔ SQL & Python – Strong hands-on experience ✔ Experience with CI/CD pipelines, Terraform, or Infrastructure as Code (IaC) is a plus