Senior Cloud Data Engineer (GCP, Python, NoSQL)

About this role

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.

DetailsOriginally posted on Himalayas