Description

You will own the design and implementation of end-to-end data solutions, translating business requirements into production-ready code. You will build modular, reusable services and APIs, ensuring high performance, stability, and cost optimization across cloud-native environments.

Responsibilities

• Design and implement data pipelines and systems for enterprise-wide data collection and storage using GCP and BigQuery.
• Develop and maintain scalable microservices and APIs using Java/SpringBoot and Python, ensuring code quality and reusability.
• Build and optimize front-end interfaces for data visualization and interaction using ReactJS.
• Establish and maintain CI/CD pipelines, configuration scripts, and infrastructure-as-code practices with DevSecOps principles.
• Collaborate with data architects and product owners to align technical designs with NSA and industry standards.

Required Skills

• 6+ years of software engineering experience with a degree in Computer Science or equivalent.
• Strong proficiency in Scala, Java, and SpringBoot for backend service development.
• Hands-on experience with Python for data processing and scripting.
• Deep expertise in Google Cloud Platform (GCP), specifically BigQuery for large-scale data warehousing.
• Proficiency in SQL for complex queries, data modeling, and performance tuning.
• Experience with ReactJS for building responsive user interfaces.
• Solid understanding of DevSecOps practices, including Docker, Kubernetes, and Kafka.

Preferred Skills

• Experience with GenAI, ResponsibleAI, and test-driven development (TDD).
• Familiarity with git version control systems and gitflow workflows.

Key Skills

Education

Any Graduate