Software Engineer

Software Engineer

Bengaluru, KA hybrid

The Cloud Data Technologies (CDT) team oversees data infrastructure and the management of the end-to-end data lifecycle. As a Software Engineer, you will work on our Hadoop-based data warehouse, contributing to scalable and reliable big data solutions for analytics and business insights. This is a hands-on role focused on building, optimizing, and maintaining large data pipelines and warehouse infrastructure.

Key Responsibilities

• Build and support java based applications in the data domain
• Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance.
• Implement data ETL processes for batch and streaming analytics requirements.
• Optimize and troubleshoot distributed systems for ingestion, storage, and processing.
• Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs.
• Ensure data security, integrity, and compliance throughout the infrastructure.
• Maintain documentation and contribute to architecture reviews.
• Participate in incident response and operational excellence initiatives for the data warehouse.
• Continuously learn and apply new Hadoop ecosystem tools and data technologies.

Required Skills and Experience

• Java + Spring Boot: Build and maintain microservices.
• Apache Flink: Develop and optimize streaming/batch pipelines.
• Cloud Native: Docker, Kubernetes (deploy, network, scale, troubleshoot).
• Messaging & Storage: Kafka; NoSQL KV stores (Redis, Memcached, MongoDB etc.).
• Python: Scripting, automation, data utilities.
• Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions).
• Core Engineering: Data structures/algorithms, testing (JUnit/pytest), Git, clean code