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Senior Data Engineer – Databricks & SaaS Integrations

India, Pune · Job Posted June 03, 2026
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Job Description

We are seeking a Senior Data Engineer with strong Databricks and backend integration experience to design, build, and operate secure, scalable data integrations between Databricks data pipelines and Software-as-a-Service (SaaS) application platforms. This role focuses on batch and streaming data flows, API-driven integrations, event-based triggers, and enterprise-grade data reliability.

Job Responsibility

  • Design and implement integrations between Databricks workflows and SaaS application backends
  • Enable batch and streaming data flows, event triggers, and API-based communication
  • Build backend services such as REST APIs, webhooks, and data interfaces
  • Implement data quality, validation, monitoring, and observability mechanisms
  • Design secure and auditable pipelines including authN, authZ, and RBAC
  • Troubleshoot pipeline failures, performance bottlenecks, and data inconsistencies
  • Collaborate with application, platform, and data engineering teams

Requirements

  • Strong experience with Databricks, Apache Spark, and data pipelines
  • Backend development experience (Python, Java, or Scala)
  • Experience integrating data platforms with SaaS application backends
  • Strong knowledge of REST APIs and event-driven architectures
  • Experience working with AWS or Azure cloud platforms
  • Understanding of enterprise security (authN, authZ, RBAC)
  • Experience with spec-driven development and coding agents

Nice to have

  • Event-driven systems using Kafka, SNS, SQS, or similar
  • Experience with streaming and real-time data processing
  • Exposure to data observability and monitoring tools

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