Senior Software Engineer - Reltio

gehc

Bengaluru

On-site

INR 1,500,000 - 2,700,000

Full time

4 days ago
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Job summary

GE Healthcare is seeking a Senior Software Engineer - Reltio to drive the technical direction for enterprise MDM and healthcare data platforms. You will develop, configure, and test cloud-native MDM applications, ensuring scalable, reliable data services across multiple environments.

You will implement robust API endpoints, advise on best practices, and contribute to full-stack development including data pipelines, UI configurations, and ML-assisted data cleansing.

Qualifications

  • Proven API development experience and RESTful services design.
  • Strong cloud technology skills across AWS/Azure/GCP.
  • Hands-on with Java or Python and OOP principles.
  • Experience with NoSQL and relational databases.
  • CI/CD and DevOps automation experience.
  • JSON configurations and UI definition handling.

Responsibilities

  • Lead development, configuration and testing of MDM solutions on the Reltio platform.
  • Define API best practices and real-time data integration endpoints.
  • Implement and optimize cloud-based, multi-tenant SaaS features.
  • Develop data connectors, JSON configurations and data pipelines.
  • Champion DevOps practices, CI/CD pipelines and environment migrations.
  • Ensure security and HIPAA/HITRUST alignment across pipelines.

Job description

Job Description Summary

As a Senior Software Engineer - Reltio, at GE Healthcare, you will play a pivotal role in implementing the technical direction and core configuration of our cutting-edge enterprise master data and healthcare data platform solutions.

Job Description

You will be responsible for developing, configuring, and testing complex, cloud-native master data management (MDM) applications, ensuring scalability, reliability, and performance across various platforms.

Responsibilities:
  • Lead the development, configuration, and implementation of enterprise MDM solutions, translating complex healthcare data requirements into robust code and configuration files using the Reltio Connected Data Platform.
  • Define and enforce best practices for API Development, building seamless real-time data integration endpoints, streaming integrations, and ensuring interoperability across downstream and upstream healthcare applications.
  • Implement and optimize MDM workflows leveraging Cloud Technology, managing multi-tenant SaaS features while adhering to organizational standards for cost, security, compliance, and performance.
  • Provide expert guidance in Computer Programming and Databasing, developing optimized JSON configurations, handling crosswalk mappings, and structuring queries to interact effectively with Reltio's data store.
  • Drive the adoption of DevOps principles and practices, utilizing continuous integration, deployment pipelines, and automated tenant configuration migration across environments.
  • Support solutions incorporating Edge Computing and Embedded Systems Architecture, building data syndication logic that allows connected medical devices to consume clean master data.
  • Contribute to Full Stack Development efforts, ensuring high-quality implementation from frontend data-steward UI layouts (Reltio Console) to backend data pipelines and integration layers.
  • Integrate Machine Learning (ML) capabilities into software products, configuring and tuning probabilistic match rules, match tokens, and automated merge criteria.
  • Develop and evolve Microservices Architecture, coding modular, resilient data connectors and event-driven message streaming handlers (e.g., Kafka, SQS).
  • Ensure adherence to Network Protocols and stringent healthcare security standards (including HIPAA, HITRUST, and secure encryption protocols) across all development pipelines.
  • Champion Object-Oriented Programming (OOP) principles, writing clean, maintainable, and extensible codebases for custom data cleaners, validators, and utility services.
  • Execute Performance Testing strategies, identifying API bottlenecks, optimizing batch data loading speeds, and tuning match engine runs to meet stringent performance requirements.
  • Participate in Software Design Architecture reviews, presenting code and configuration models, while mentoring and guiding junior data engineers on the team.
  • Provide technical leadership and oversight in Software Project Management, breaking down architectural requirements into actionable developer tasks and ensuring successful delivery of sprints.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of progressive experience in software engineering, with at least 2 years of hands-on experience configuring, developing, and deploying on the Reltio MDM platform.
  • Proven expertise in API Development, designing RESTful web services, and building event-driven architectures.
  • Extensive experience with Cloud Technology (e.g., AWS, Azure, GCP) and cloud-native application stacks.
  • Strong proficiency in Java, Python, or similar Object-Oriented programming languages.
  • Deep understanding of Databasing technologies, including NoSQL, relational databases, data warehousing concepts, and complex data modeling.
  • Solid experience implementing DevOps practices, infrastructure-as-code principles, and CI/CD automation tools.
  • Familiarity with Edge Computing and Embedded Systems Architecture principles as they relate to downstream data ingestion.
  • Proficiency in Full Stack Development concepts, with strong experience handling JSON-based configurations and managing application UI definitions.
  • Experience with Machine Learning (ML) integration, matching algorithms, and data cleansing applications.
  • Demonstrated expertise in Microservices Architecture implementation and cloud integration patterns.
  • Strong understanding of Network Protocols, data payload serialization, and secure transport standards.
  • Mastery of Object-Oriented Programming (OOP) principles.
  • Experience with Performance Testing methodologies, load testing tools, and data pipeline profiling.
  • Exceptional skills in Software Design Architecture pattern recognition, entity resolution troubleshooting, and crosswalk analysis.
  • Proven ability in Software Project Management methodologies (such as Agile or Scrum) and leading technical delivery blocks.
  • Excellent communication, leadership, and interpersonal skills to collaborate effectively with
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