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Mid-level data role in Bangalore with common skills and 4–6 year band attracts high applicant density.
Core data engineering skills are transferable, though healthcare domain experience moderately increases fit.
Explicit 4–6 years plus mandatory Spark, Python, Kubernetes and data engineering skills enforces strict filtering.
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Design, develop, and maintain scalable backend services, distributed data processing pipelines, and cloud-native data platforms.
Develop RESTful APIs using Python, optimize large-scale data pipelines with Spark, and deploy applications on Kubernetes-based production environments.
Collaborate with cross-functional teams including AI researchers and product managers to deliver data-driven healthcare software solutions.
4–6 years of professional experience in backend engineering, data engineering, or related software engineering role.
Bachelor's or Master’s degree in Computer Science, Software Engineering, Data Engineering, or related technical discipline.
Proficiency in Python for REST API development, Spark for data processing, relational databases with SQL, and Kubernetes for deployment.
Experience or proficiency in Prompt Engineering and working with Large Language Models (LLMs).
Experienced in building scalable distributed data platforms and data processing systems with strong computer science fundamentals.
Skilled in designing technical solutions collaboratively, mentoring junior engineers, and participating in architecture discussions.
Comfortable working in hybrid team environments combining healthcare domain data challenges with AI-driven applications.