Design and implement end-to-end features and services within a multi-service architecture.
Build and maintain a scalable data platform, incorporating advanced business logic and developing asynchronous, data-oriented, and scalable services.
Continuously improve and enhance the current data platform to ensure reliability, scalability, and performance.
Enhance and extend the functionality of existing systems.

5+ years as a Data Engineer or Backend Developer.
Proficient in Python; advanced skills are a plus.
Experience designing scalable data platforms, preferably in SaaS.
Expertise in building, optimizing, and maintaining large-scale production systems.
Hands-on with ETL/ELT pipelines, focusing on monitoring, supportability, and resource efficiency.
Strong knowledge of orchestration tools (e.g., Apache Airflow, Dagster).
Clear communication of technical processes to non-technical stakeholders.
Proven ability to design scalable, cloud-based systems in SaaS environments.

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Qumra Capital

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