Position : Data Platform Engineer (Golang & Python)
Location : Alpharetta, GA or Remote
Skills: Golang, Python, Cloud Technologies, ETL, Kubernetes
Responsibilities:
Design and build scalable and high-performance data software solutions using Golang and Python.
Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments.
Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements.
Optimize performance, reliability, and security of our backend infrastructure.
Work on data modeling and transformation to support machine learning workflows and AI-powered applications.
Skillset:
10+ years of hands-on experience in backend software development, with expertise in Golang and Python.
Strong understanding of ETL processes, data pipelines, and working with large datasets.
Experience with Kubernetes orchestration, containerization, and cloud-native development.
Proficiency in building scalable systems that handle high volumes of data and transactions.
Knowledge of cloud platforms (AWS, Azure, or GCP) and their ecosystem tools.
Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana).
Strong problem-solving skills and a passion for writing clean, maintainable code.
Experience with data modeling, transformation, and integration.
Golang and Python experience.
Experience with orchestration tools (e.g., Apache Airflow, Prefect).
Familiarity with Kubernetes and container orchestration (Docker, Helm, etc.).
Cloud platform experience (AWS, Azure, or GCP) and related services.
Knowledge of monitoring and logging tools for distributed systems (Prometheus, Grafana, ELK stack).
Experience with CI/CD pipelines and automated testing.
Strong understanding of data modeling, ETL workflows, and data transformation techniques.
Contact Information
Email: fizal.a@cagus.com
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