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Tier-1 brand plus Bangalore metro presence increases applicant density, but seniority and niche skills moderate competition.
Requires specialized distributed data platform and notebook tooling, limiting cross-industry transferability somewhat.
Explicit 8+ years, 5+ years platform experience, and specific tech stack make filters stringent.
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.
Develop backend services for workspace, session, compute, and resource lifecycle management while improving platform reliability, scalability, performance, and security.
8+ years of software engineering experience in Java, Python, or similar languages.
5+ years experience with Jupyter, SQL development environments, data exploration tools, or similar developer platforms.
Experience with distributed data technologies such as Spark, Hadoop, Flink, or similar systems.
Familiarity with Kubernetes, Docker, and cloud-native infrastructure.
Proven ability to build production-grade software with AI coding agents to improve engineering velocity while maintaining quality and maintainability.
Experience in backend platform engineering with strong understanding of APIs and distributed systems.
Experience working closely with data engineers, analysts, and data scientists to deliver self-service data workflows and developer tools.