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, Data Proc, Kubernetes Engine, Big Query, Pub/Sub, and Cloud Storage
• Participate in CI/CD pipeline automation using tools like Jenkins, Git Hub, and Git Hub 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

• Strong hands-on experience with core GCP services:
  Compute Engine, Data Proc, Kubernetes Engine, Cloud Storage, Big Query, Pub/Sub, Cloud Functions, and Dataflow
• Proficiency in PySpark, Python, Spark SQL, Data Frames, and Py Test
• Experience with Cloud Composer (Airflow on GCP) for orchestrating data workflows
• Proven expertise in writing complex and optimized SQL queries
• Experience designing and implementing CI/CD pipelines using Git Hub, Git Hub Actions, and Jenkins
• Deep understanding of data architecture, data modeling, and pipeline optimization on GCP
• Strong troubleshooting and debugging skills
• Excellent verbal and written communication skills

• Experience with data governance and metadata management tools
• Familiarity with machine learning pipelines on GCP
• GCP Professional Data Engineer certification is a plus

GCP Professional Data Engineer (preferred)

Education:

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

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