Job Title

Role OverviewWe 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.