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., Big Query/Snowflake/Redshift/Synapse/Databricks SQL) for performance and cost using partitioning, clustering, caching, statistics, and workload management.
Build and ...