Senior Cloud Data Engineer (GCP, Python, NoSQL)

Category: Technology Location: We are looking for an experiencedSenior Cloud Data Engineerwith expertise inGoogle Cloud Platform (GCP), Python, and NoSQL databasesto join our dynamic team. The ideal candidate will have8+ yearsof hands-on experience in designing, developing, and optimizing scalable data solutions in a cloud environment. This is afully remoterole, offering the opportunity to work with cutting-edge technologies and contribute to impactful data-driven projects. Requirements Key Responsibilities: - Design, develop, and implement scalable data pipelines and cloud-based solutions onGCP. - Work withBigQuery, Cloud Storage, Pub/Sub, Dataflow, and other GCP services for data processing and analytics. - Develop and optimizePython-based ETL pipelinesfor data ingestion, transformation, and processing. - Work withNoSQL databasessuch asFirestore, Bigtable, or MongoDB, ensuring high performance and scalability. - Collaborate withdata scientists, analysts, and software engineersto integrate data solutions with business applications. - Ensuredata security, reliability, and compliancewith industry best practices. - Monitor, troubleshoot, and improve data workflows and infrastructure. - Experience in API Development Required Skills & Qualifications: - 8+ years of experiencein Cloud Data Engineering, Software Development, or a similar role. - Strong hands-on experience withGoogle Cloud Platform (GCP)and its key services. - Proficiency inPythonfor scripting, automation, and data processing. - Experience withNoSQL databases(Firestore, Bigtable, MongoDB, or similar). - Experience in building and optimizingdata pipelines, ETL processes, and data architectures. - Knowledge ofcontainerization (Docker, Kubernetes)and CI/CD pipelines is a plus. - Strong problem-solving skills and the ability to work independently in a remote environment. - Excellent communication and collaboration skills. Details Originally posted on Himalayas