Senior Cloud Data Engineer (GCP, Python, NoSQL)
# Senior Cloud Data Engineer (GCP, Python, NoSQL) **Madello Consulting** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Cloud-Data-Engineering]` `[Data-Engineering]` `[Data-Engineer]` `[GCP-Data-Engineer]` `[Cloud-Engineer]` `[Senior-Cloud-Data-Engineer]` `[Senior-Cloud-Data-Platform-Engineer]` `[Senior-GCP-Cloud-Engineer]` `[Cloud-Data-Engineer]` `[Senior-Data-Engineering]` `[Senior-Data-Infrastructure-Engineer]` `[Data-Platform-Engineer]` `[DataOps-Engineer]` --- ### About the Role Category: Technology Location: We are looking for an experienced Senior Cloud Data Engineer with expertise in Google Cloud Platform (GCP), Python, and NoSQL databases to join our dynamic team. The ideal candidate will have 8+ years of hands-on experience in designing, developing, and optimizing scalable data solutions in a cloud environment. This is a fully remote role, 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 on GCP . - Work with BigQuery, Cloud Storage, Pub/Sub, Dataflow , and other GCP services for data processing and analytics. - Develop and optimize Python-based ETL pipelines for data ingestion, transformation, and processing. - Work with NoSQL databases such as Firestore, Bigtable, or MongoDB , ensuring high performance and scalability. - Collaborate with data scientists, analysts, and software engineers to integrate data solutions with business applications. - Ensure data security, reliability, and compliance with industry best practices. - Monitor, troubleshoot, and improve data workflows and infrastructure. - Experience in API Development Required Skills & Qualifications: - 8+ years of experience in Cloud Data Engineering, Software Development, or a similar role. - Strong hands-on experience with Google Cloud Platform (GCP) and its key services. - Proficiency in Python for scripting, automation, and data processing. - Experience with NoSQL databases (Firestore, Bigtable, MongoDB, or similar). - Experience in building and optimizing data pipelines, ETL processes, and data architectures . - Knowledge of containerization (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
- Cloud-Data-Engineering
- Data-Engineering
- Data-Engineer
- GCP-Data-Engineer
- Cloud-Engineer
- Senior-Cloud-Data-Engineer
- Senior-Cloud-Data-Platform-Engineer
- Senior-GCP-Cloud-Engineer
- Cloud-Data-Engineer
- Senior-Data-Engineering
- Senior-Data-Infrastructure-Engineer
- Data-Platform-Engineer
- DataOps-Engineer
Наблюдалась 2026-10-06, впервые 2026-10-06, источник — Himalayas (JSON API).