Tiger Analytics is seeking a technically solid Senior Data Engineer to take design ownership of next-generation Data and AI platforms using Microsoft Azure.
In this role, you will lead the architecture of high-performance data pipelines, build modern data infrastructures, and deploy intelligent analytics solutions.
Key Responsibilities
- Framework Design: Architect scalable, metadata-driven frameworks for data ingestion, quality validation, and transformation across complex batch and real-time streaming datasets.
- Pipeline Engineering: Develop and optimize end-to-end production data pipelines to process structured and unstructured data into high-value analytical products.
- Observability & Support: Build robust exception handling, unified logging, and proactive monitoring mechanisms to ensure platform reliability and seamless operational support.
- Technical Ownership: Take complete accountability for high-complexity modules, leading the implementation of critical data workflows and core platform components.
- Engineering Excellence: Provide direct guidance to data engineers, conduct constructive code reviews, and establish rigorous development standards.
- Cross-Functional Collaboration: Partner with Business Consultants, Data Architects, Data Scientists, and Application Developers to build and deliver strategic analytics ecosystems.
How to Apply We have streamlined our hiring process. To ensure your profile goes straight to our engineering evaluation team, please submit your resume and details through our direct application portal rather than the standard Naukri button.
Direct Application Link: https://forms.gle/6fVwRFvMAmMcY3b7A
(Please copy and paste the link into your browser if it isn't clickable. For escalation or application backup inquiries, you may also reach out directly to
[email protected]).
📌 Senior Data Engineer - Azure Databricks (Bengaluru)
🏢 Tiger Analytics
📍 Bengaluru