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Design, develop, and maintain Databricks-based ETL pipelines using Apache Spark. Build scalable data processing frameworks for ingestion, transformation, and validation Optimize Databricks jobs, clusters, and workflows for performance, reliability, and cost efficiency. Develop and manage job pipelines, scheduling, and orche...
About the Role
Role Description
We are seeking a Data Engineer with strong Databricks expertise to support the NGP (Next Generation Platform) data ecosystem. The role focuses on building scalable data pipelines, optimizing Databricks jobs, and enabling high-performance data processing frameworks within a cloud-based architecture.
The candidate will work closely with Snowflake, Azure, and distributed data platforms to deliver robust, production-grade data solutions supporting financial analytics and reference data systems.
Databricks & Data Engineering
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