Back
Metro-based role with in-demand data/backend skills and moderate employer brand yields medium competition.
Python, Kafka, Snowflake, and Kubernetes skills are broadly transferable across industries.
Explicit 8+ years plus multiple mandatory data, streaming, cloud, and backend technology requirements increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable data pipelines, data services, and real-time event-driven data solutions using Python, cloud-native technologies, and Confluent Kafka.
Build and support APIs and backend components with frameworks like FastAPI; optimize data models and workflows in Snowflake.
Deploy, operate, troubleshoot Kubernetes workloads and support data platform quality, governance, and observability initiatives.
Bachelor's or Master's degree in Computer Science, Information Technology, or similar field.
Minimum 8 years of experience designing and building data-intensive applications and cloud-based systems.
Strong programming skills in Python, experience with Snowflake, Confluent Kafka, FastAPI, Kubernetes, and cloud services (Azure preferred).
Experience with DevOps practices, CI/CD pipelines, and production support activities.
Experienced in end-to-end development and operational support of cloud-native data platforms and streaming data architectures.
Skilled collaborator able to work across software engineering, platform engineering, data science, and business teams in a global environment.
Focused on building scalable, reliable data products and comfortable managing incident resolution and production troubleshooting.