Staff Software Engineer- Data

Overview

Build a reusable, engineering-first Data Platform that enables product teams to deliver reliable, scalable, self-service data solutions. The role focuses on platform engineering rather than only building data pipelines.

What you'll do

• Build reusable platform components and frameworks using Python and Apache Spark.
• Develop and maintain production-grade data processing applications on Databricks.
• Develop standardized platform capabilities for data ingestion, processing, observability, and governance.
• Build APIs, libraries, and automation that improve engineering productivity.
• Work with PostgreSQL, MongoDB, and Delta Lake to build reliable data solutions.
• Optimize application performance, scalability, and reliability.
• Write clean, maintainable, well-tested production code.
• Troubleshoot production issues and drive them to resolution.
• Collaborate with engineers across teams to deliver high-quality platform capabilities.

What you'll need

• 2–4 years of professional software engineering experience.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark (PySpark).
• Experience building applications on AWS/Databricks.
• Strong understanding of Object-Oriented Programming (OOP).
• Strong understanding of Design Patterns.
• Strong understanding of SOLID Principles.
• Strong understanding of Data Structures & Algorithms.
• Strong understanding of Clean Code Practices.
• Strong understanding of Unit Testing.
• Experience working with NoSQL/Relational Databases.
• Experience with Git and CI/CD pipelines.
• Strong analytical, debugging, and problem-solving skills.
• Good understanding of scalable and reliable software development practices.

Nice to have

• Experience building Data Platform or internal platform capabilities.
• Experience with Delta Lake and Lakehouse architecture.
• Exposure to Generative AI applications.
• Experience building RAG (Retrieval-Augmented Generation) solutions.
• Experience with Agentic AI workflows.
• Exposure to Docker or Kubernetes.

Details

• Location: Bangalore, India.