Data Development Platform Engineer
eBay (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 40–60 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain an integrated development environment for data exploration, analytics, and development including tools like Jupyter Notebook and SQL editors.
- Integrate Data Studio with large-scale data and compute platforms such as Spark, Hadoop, Flink, and cloud-native services, developing backend services and APIs for session and resource management.
- Improve platform reliability, scalability, performance, security, and developer experience by collaborating closely with data engineers, analysts, and data scientists to enable efficient self-service data workflows.
Minimum Requirements
- 8+ years of software engineering experience in Java, Python, or similar languages.
- 5+ years of experience with Jupyter, SQL development environments, or similar data exploration/developer platforms.
- Experience with distributed data technologies such as Spark, Hadoop, Flink, or similar systems; familiarity with Kubernetes, Docker, and cloud-native infrastructure.
- Work Experience Required: 8+ years software engineering; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building and maintaining production-grade software with AI coding agents to improve engineering velocity while maintaining code quality and reliability.
- Strong understanding of APIs, distributed systems, and production platform engineering, with ability to capture and communicate complex technical and business knowledge for AI-driven automation.
- Familiarity with internal developer or data platforms and distributed scheduling systems (e.g., Airflow) is a plus, indicating ability to operate in complex data engineering environments.