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GCP Data Engineer
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Looking for GCP Cloud Engineer (Diversity)Pune locationAbout the Role:We are seeking an experienced GCP Data Engineer with strong expertise in Google Cloud Platform services, solution design, and programming skills. The ideal candidate will have hands-on experience with GCP data processing tools, cloud-native services, and the ability to design scalable and optimized cloud solutions.Key Responsibilities:Design, implement, and optimize GCP-based data solutions using best practices.Develop workflows and pipelines using Cloud Composer and Apache Airflow , including setting task dependencies in DAGs.Build and manage data processing clusters using Dataproc for batch and stream processing.Work with GCP services such as Cloud Functions , Cloud Run , and Cloud Storage for event-driven and microservice-based architectures.Design and implement ETL/ELT workflows and integrate multiple data sources.Write clean, efficient, and scalable code in Python, Java, or similar programming languages .Apply logical problem-solving skills to address business challenges and optimize cloud solutions.Collaborate with stakeholders to design and document end-to-end GCP solution architectures .Required Skills & Experience:Hands-on experience with Dataproc , Cloud Composer , Cloud Functions , and Cloud Run .Strong programming skills in Python, Java, or similar, with a focus on clean, maintainable code.Good understanding of GCP architecture and ability to design efficient, scalable, and secure solutions.Experience in setting task dependencies in Airflow DAGs for workflow orchestration.Excellent logical and analytical thinking for solving technical problems.Strong communication and documentation skills for cross-functional collaboration.Preferred Qualifications:GCP Professional Data Engineer or Architect Certification.Experience in data lake and data warehouse solutions on GCP (e.g., BigQuery, Dataflow).Experience with CI/CD pipelines for GCP-based deployments.