Data Engineer gains access to data across the organization and provides ongoing analysis by monitoring, profiling, and analyzing databases. The role requires a mix of functional, data, and technical skills to understand business requirements, translate them into information needs, and implement solutions using available data. The hire will expand and optimize data architecture and data flow for cross-functional teams. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems. The Data Engineer will support software developers, database architects, data analysts, and data scientists on data initiatives and will ensure consistent data delivery architecture across ongoing projects.
Data Engineer gains access to data across the organization and provides ongoing analysis by monitoring, profiling, and analyzing databases. The role requires a mix of functional, data, and technical skills to understand business requirements, translate them into information needs, and implement solutions using available data. The hire will expand and optimize data architecture and data flow for cross-functional teams. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems. The Data Engineer will support software developers, database architects, data analysts, and data scientists on data initiatives and will ensure consistent data delivery architecture across ongoing projects.
Core duties include: - Assemble large, complex data sets that meet functional and non-functional requirements. - Strong knowledge of SQL; write and troubleshoot SQL queries for data mining across multiple joins or unions. - Perform complex data analysis and provide recommendations based on findings. - Understand data modeling concepts. - Solve problems and identify opportunities for improvement (error detection, root cause analysis). - Understand ETL processes for verification and testing of data. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Manipulate, process, and extract value from large disconnected datasets. - Analyze business objectives and develop data solutions to meet needs. - Participate in multiple concurrent projects. - Improve and customize data solutions to meet requirements. - R
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Core duties include: - Assemble large, complex data sets that meet functional and non-functional requirements. - Strong knowledge of SQL; write and troubleshoot SQL queries for data mining across multiple joins or unions. - Perform complex data analysis and provide recommendations based on findings. - Understand data modeling concepts. - Solve problems and identify opportunities for improvement (error detection, root cause analysis). - Understand ETL processes for verification and testing of data. - Build processes supporting data transformation, data structures, metadata, dependency and workload management. - Manipulate, process, and extract value from large disconnected datasets. - Analyze business objectives and develop data solutions to meet needs. - Participate in multiple concurrent projects. - Improve and customize data solutions to meet requirements. - R
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Based on: Data Engineer
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