Data Development Platform Engineer

Overview

Build and maintain a Data Studio development environment for data exploration, analytics, and development. The role supports notebooks, SQL editors, data exploration, compute workflows, and self-service data capabilities.

What you'll do

• Design and maintain Data Studio capabilities.
• Build interactive tools such as Jupyter Notebooks and SQL editors.
• Integrate the platform with Spark, Hadoop, Flink, and cloud-native services.
• Develop APIs for workspace, session, compute, and resource lifecycle management.
• Improve platform reliability, scalability, performance, security, and developer experience.
• Partner with data engineers, analysts, and data scientists on data workflows.

What you'll need

• At least 8 years of software engineering experience.
• Proficiency in Java, Python, or similar languages.
• At least 5 years of experience with Jupyter, SQL development environments, data exploration tools, or similar platforms.
• Experience with distributed data technologies such as Spark, Hadoop, or Flink.
• Familiarity with Kubernetes, Docker, and cloud-native infrastructure.
• Strong understanding of APIs, distributed systems, and production platform engineering.
• Experience delivering production-quality software using AI coding tools.

Nice to have

• Experience building internal developer or data platforms.
• Deep understanding of distributed scheduling systems such as Airflow.

Details

• Location: Bengaluru, India.