Found Description
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...
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...