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Senior Data Engineer - Modern Engineering Team

India, Pune · Job Posted May 16, 2026
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Job Description

The Senior Data Engineer is an experienced, hands-on engineer who is passionate about solving complex technical problems through innovation and modern engineering practices. This role is central to building and evolving our next-generation, event-driven data platform, working at the intersection of data engineering, software craftsmanship, and agile delivery.

Job Responsibility

  • Design, develop, and maintain high-quality, production-grade data pipelines built on Java, Spring Boot microservices, Kafka, Elasticsearch, and Oracle
  • Write clean, well-tested, and maintainable code, applying SOLID principles, TDD, BDD (Cucumber/Spock), and Trunk-Based Development practices
  • Actively participate in code reviews, pairing sessions with developers and AI coding agents (e.g., GitHub Copilot, Devin), and contribute to raising the overall engineering bar
  • Decompose acceptance criteria to understand backlog deliverables, complexities, and risks, contributing to sprint planning and agile ceremonies
  • Implement and manage feature toggles to enable safe, continuous delivery to production
  • Contribute to the design and documentation of scalable, highly available, and low-latency event-driven architectures
  • Apply modern software design patterns and contribute to architectural decisions, including CQRS, Data Mesh, and Medallion Architecture principles
  • Leverage knowledge of Cloud-native development, Container Orchestration (OpenShift/Kubernetes), and CI/CD pipelines (Tekton, Jenkins, Harness) to deliver robust solutions
  • Partner continuously with business stakeholders, architects, and cross-functional teams to deliver sprint goals and broader platform objectives
  • Serve as a Subject Matter Expert (SME) for senior stakeholders and team members on data engineering topics
  • Mentor and coach junior engineers, fostering a culture of continuous learning and engineering excellence
  • Contribute to defining and evolving technical standards, coding guidelines, and team ways of working

Requirements

  • 8+ years of experience as a Senior Technology/Data Engineer
  • Strong, hands-on experience with event-driven architecture using Apache Kafka and Spring Boot microservices
  • Proficiency in Java (JDK 17/21+), Gradle, SQL/Oracle and Elasticsearch
  • Practical experience with BDD/TDD using Cucumber/Spock, Trunk-Based Development, and feature toggles
  • Strong understanding of Agile/Scrum development and a craftsperson approach to engineering, applying SOLID and Clean Code principles
  • Clear understanding of Data Structures and Object-Oriented Principles in Java
  • Experience with CI/CD pipelines (Tekton, Jenkins, Harness, etc.), either on-premises or in the cloud
  • Strong experience with Cloud-native development and Container Orchestration tools (Docker, Kubernetes, OpenShift)
  • B.Tech/B.Eng degree or equivalent work experience

Nice to have

  • Exposure to horizontally scalable, highly available, and low-latency event-driven application architecture
  • Experience with Security, Observability, and Monitoring tools (Grafana, Prometheus, Splunk, ELK, CloudWatch, etc.)
  • Good understanding of Data Engineering concepts, including data storage, data quality, data governance, data modeling, and data management
  • Familiarity with AI coding agents (e.g., GitHub Copilot, Devin or equivalent tools) and their integration into the development workflow
  • Exposure to Data Mesh, Modern Data Architecture, or CQRS patterns
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