Senior Data Engineer – Databricks & SaaS (Software-as-a-Service) Integrations (Pune)
codvo-team · Maharashtra, Pune, India ·
- Seniority
- Senior
- Category
- Data engineering
codvo-team · Maharashtra, Pune, India ·
Senior Data Engineer – Databricks & SaaS (Software-as-a-Service) Integrations
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
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.
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
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
Event-driven systems using Kafka, SNS, SQS, or similar
Experience with streaming and real-time data processing- Exposure to data observability and monitoring tools
Reliable, secure, and scalable Databricks–SaaS integrations
High data quality and observability across pipelines
Well-designed APIs and workflows supporting business growth