GCP Data Engineer

We are seeking an experienced GCP Data Engineer with strong experience in building and optimizing big data pipelines on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with GCP services, big data frameworks, and Python-based ETL development, and will contribute to building robust data solutions that scale to meet complex analytics requirements.

Job Responsibilities :

• Design, develop, and maintain scalable data pipelines and workflows using GCP services such as Dataflow, Cloud Composer, and Cloud Functions
• Implement ETL / ELT solutions using PySpark, Spark SQL, and Python to process and transform large datasets
• Develop monitoring and alerting mechanisms for data quality and pipeline failures
• Write advanced SQL queries to support reporting and analytics use cases
• Work with GCP services like Compute Engine, DataProc, Kubernetes Engine, BigQuery, Pub / Sub, and Cloud Storage
• Participate in CI / CD pipeline automation using tools like Jenkins, GitHub, and GitHub Actions
• Design and implement data models (conceptual, logical, and physical) for analytics and reporting
• Conduct architecture and code reviews to ensure solutions align with GCP best practices and performance standards
• Provide architectural recommendations for scalable and secure cloud data solution
• Collaborate with cross-functional teams across data engineering, data science, and product teams

Required Skills :

Preferred Skills :

Certifications :

GCP Professional Data Engineer (preferred)

Education :

Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field

Email ID

Cell phone

First Name

Last Name

J-18808-Ljbffr