Found Description
Transform financial data systems with your expertise as a Senior Data Engineer focused on migrating to Databricks lakehouse solutions. Lead modernization efforts to revolutionize risk and data platforms in this critical role.
This senior position centers on overhauling legacy Cloudera ecosystems into a cloud-native architecture. The ideal candidate brings 12-18 years of overall data engineering experience, with a strong focus on enterprise Data Warehouse and Data Lake platforms. Key competencies include deep knowledge of data warehousing, finance risk data models, and hands-on experience with Databricks Spark for robust analytics and regulatory requirements.
Key Responsibilities:
• Lead the transition from Cloudera to Databricks Lakehouse
• Redesign data ingestion and transformation patterns
• Ensure data integrity during platform migration
• Architect Data Warehouse and Data Lake solutions
• Build and manage semantic consumption ...
This senior position centers on overhauling legacy Cloudera ecosystems into a cloud-native architecture. The ideal candidate brings 12-18 years of overall data engineering experience, with a strong focus on enterprise Data Warehouse and Data Lake platforms. Key competencies include deep knowledge of data warehousing, finance risk data models, and hands-on experience with Databricks Spark for robust analytics and regulatory requirements.
Key Responsibilities:
• Lead the transition from Cloudera to Databricks Lakehouse
• Redesign data ingestion and transformation patterns
• Ensure data integrity during platform migration
• Architect Data Warehouse and Data Lake solutions
• Build and manage semantic consumption ...
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