Engineer
- Data Platform Summary We are seeking a highly skilled Engineer to join our IT Services division, focusing on the design, development, and maintenance of robust data platforms. In this pivotal role, you will leverage your expertise in distributed systems and cloud engineering to build scalable solutions that drive our data strategy forward. The position demands a professional who can seamlessly integrate machine learning operations with advanced data processing frameworks, ensuring high availability and performance for our enterprise applications. This role is critical for enabling data-driven decision-making through the implementation of sophisticated data cataloging and lineage tracking systems. Responsibilities
• Architect and deploy scalable distributed systems utilizing AWS Cloud Platform to support high-volume data processing needs.
• Design and implement end-to-end MLOps pipelines using tools such as Apache Airflow and Spark to streamline model training and deployment.
• Manage and optimize data infrastructure on Databricks, ensuring productive execution of complex data transformations and analytics.
• Develop comprehensive data cataloging and lineage tracking mechanisms to maintain data integrity and governance across the organization.
• Build and maintain high-performance APIs and microservices using React, TypeScript, JavaScript, and Node.js,



adhering to event-driven architecture principles.
• Establish and enforce rigorous testing frameworks to validate the reliability and security of both data pipelines and application services.
• Collaborate with cross-functional teams to integrate data solutions with existing business applications and support continuous improvement initiatives. Requirements

Requirements:
• Possess 5.5 to 8 years of professional experience in software engineering, with a strong focus on data platform technologies.
• Demonstrate proven expertise in MLOps practices and proficiency with Apache Airflow, Spark, and Databricks environments.
• Have hands-on experience in Data Cataloging and Data Lineage implementation to ensure robust data governance.
• Show deep knowledge of AWS Cloud Platform engineering, specifically in designing distributed systems.
• Exhibit strong full-stack development capabilities using React, TypeScript, JavaScript, and Node.js for API development.
• Understand and apply Microservices and Event-Driven Architecture patterns in building resilient software solutions.
• Be skilled in creating and maintaining comprehensive Testing Frameworks to ensure code quality and system stability.
• Target compensation for this role ranges from ₹22-25 LPA, reflecting the specialized skill set and experience level required.

📌 Engineer - Data Platform (Bengaluru)
🏢 Vrinda International
📍 Bengaluru