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DataNimbus is seeking a motivated Python Developer with 1–3 years of experience to design, develop, and maintain scalable Data+AI applications focused on backend logic using PySpark and Databricks. You will build RESTful APIs, work with relational databases, and collaborate across teams to deliver robust solutions.
The role emphasizes clean code, unit testing, and API integration, with exposure to cloud platforms (AWS/Azure/GCP) and agile practices, within a fast-growing Data+AI environment.
At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus. Designer (a cloud‑native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting‑edge technology, and achieve sustainable scalability.
With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer‑centricity. We pride ourselves on being a trusted partner for customers navigating the complexities of Data+AI and payment modernization.
At DataNimbus, we believe in shaping a sustainable, AI‑driven future while offering an environment that prioritizes learning, innovation, and growth. Our core values—Customer‑Centricity, Simplicity, Curiosity, Responsibility, and Adaptability—are the foundation of our workplace, ensuring every team member can make a meaningful impact. Joining DataNimbus means being part of a dynamic team where you can:
If you’re passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you.
We are looking for a motivated Python Developer with 1–3 years of professional experience to join our Data+AI team. You will work on designing, developing, and maintaining scalable. Data+AI applications, contributing to both backend logic using PySpark and in Databricks.
Bachelor’s degree in Computer Science, IT, Engineering, or a related field (or equivalent practical experience)