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) with clear conventions and documentation.
Optimize cloud data warehouses

(e.g., BigQuery/Snowflake/Redshift/Synapse/Databricks SQL) for...