Job Title: Senior Data Engineer

Location: Hyderabad (Hybrid)

Experience: 7–14 years

Budget upto 33 LPA

Role Overview

Lead the design and build of scalable, secure, high performance data platforms with a software engineering mindset —treating pipelines as products built in factory mode, inner-sourced for reuse, and automated end-to-end. Drive metadata-driven development and put data quality and observability at the core, across batch and streaming.

Key Responsibilities

• Engineer reusable pipeline frameworks (batch & streaming) with standard scaffolding, templates, and golden paths that teams can adopt and extend.
• Model data for analytics and interoperability (dimensional/star & snowflake, Data Vault 2.0 , SCD types) ...