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