Visa: Any
Job Title: Python Engineer GCP (Python & React)
Location: Richardson TX preferred but REMOTE OK
Experience Required: 5 Years
Need Python / PySpark w Software Engineering experience in wont be a lot of React work. Most of it will be Data Engineering. Because there will not be a lot of React work theyre looking for a Data Engineer who can also handle the React portion.
A Fullstack Developer who can do Data Engineering work on React dashboards for end-client
Job Summary:
We are seeking an experienced Python Engineer with strong hands-on expertise in building cloud-native applications and data-driven services on Google Cloud Platform (GCP). The ideal candidate will be proficient in Python development cloud services and modern DevOps practices with the ability to design optimize and support scalable systems in hybrid cloud environments. Need Python / PySpark w Software Engineering experience in REACT. A Fullstack Developer who can do Data Engineering work for direct client and React dashboards for end-client
Key Responsibilities:
- Develop robust backend services APIs and automation pipelines using Python.
- Design and deploy cloud-native applications leveraging GCP services such as Cloud Run Cloud Functions Pub/Sub BigQuery Cloud Storage and Cloud SQL.
- Build and maintain data processing pipelines ETL workflows and event-driven services.
- Implement CI/CD pipelines testing frameworks and deployment automation using GCP-native or third-party tools.
- Monitor optimize and troubleshoot applications running in GCP and containerized environments.
- Collaborate with cloud architects data engineers and product teams to deliver scalable secure and high-performing solutions.
- Ensure best practices for cloud security reliability logging and performance tuning.
- Participate in code reviews design discussions and agile ceremonies.
Required Skills & Qualifications:
- 5 years of professional experience developing applications using Python.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Proficiency with key GCP services: Cloud Run Cloud Functions Pub/Sub BigQuery Cloud SQL Cloud Storage IAM.
- Experience building RESTful APIs microservices or event-driven architectures.
- Strong understanding of containerization (Docker) and orchestration (Kubernetes/GKE).
- Experience with CI/CD pipelines and automation frameworks.
- Good understanding of cloud networking monitoring and security best practices.
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- Experience with data engineering or streaming systems.
- Familiarity with Vertex AI AI workloads or machine learning pipelines.
- Knowledge of Terraform or other Infrastructure-as-Code tools.
- Experience working in Agile/Scrum environments.
- GCP certifications (e.g. Professional Cloud Developer Data Engineer).
Visa: Any Job Title: Python Engineer GCP (Python & React) Location: Richardson TX preferred but REMOTE OK Experience Required: 5 Years Need Python / PySpark w Software Engineering experience in wont be a lot of React work. Most of it will be Data Engineering. Because there will not be a l...
Visa: Any
Job Title: Python Engineer GCP (Python & React)
Location: Richardson TX preferred but REMOTE OK
Experience Required: 5 Years
Need Python / PySpark w Software Engineering experience in wont be a lot of React work. Most of it will be Data Engineering. Because there will not be a lot of React work theyre looking for a Data Engineer who can also handle the React portion.
A Fullstack Developer who can do Data Engineering work on React dashboards for end-client
Job Summary:
We are seeking an experienced Python Engineer with strong hands-on expertise in building cloud-native applications and data-driven services on Google Cloud Platform (GCP). The ideal candidate will be proficient in Python development cloud services and modern DevOps practices with the ability to design optimize and support scalable systems in hybrid cloud environments. Need Python / PySpark w Software Engineering experience in REACT. A Fullstack Developer who can do Data Engineering work for direct client and React dashboards for end-client
Key Responsibilities:
- Develop robust backend services APIs and automation pipelines using Python.
- Design and deploy cloud-native applications leveraging GCP services such as Cloud Run Cloud Functions Pub/Sub BigQuery Cloud Storage and Cloud SQL.
- Build and maintain data processing pipelines ETL workflows and event-driven services.
- Implement CI/CD pipelines testing frameworks and deployment automation using GCP-native or third-party tools.
- Monitor optimize and troubleshoot applications running in GCP and containerized environments.
- Collaborate with cloud architects data engineers and product teams to deliver scalable secure and high-performing solutions.
- Ensure best practices for cloud security reliability logging and performance tuning.
- Participate in code reviews design discussions and agile ceremonies.
Required Skills & Qualifications:
- 5 years of professional experience developing applications using Python.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Proficiency with key GCP services: Cloud Run Cloud Functions Pub/Sub BigQuery Cloud SQL Cloud Storage IAM.
- Experience building RESTful APIs microservices or event-driven architectures.
- Strong understanding of containerization (Docker) and orchestration (Kubernetes/GKE).
- Experience with CI/CD pipelines and automation frameworks.
- Good understanding of cloud networking monitoring and security best practices.
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- Experience with data engineering or streaming systems.
- Familiarity with Vertex AI AI workloads or machine learning pipelines.
- Knowledge of Terraform or other Infrastructure-as-Code tools.
- Experience working in Agile/Scrum environments.
- GCP certifications (e.g. Professional Cloud Developer Data Engineer).
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