projects.Qualifications and Skills:Proven experience in data engineering, particularly with ETL processes, data pipeline construction, and workflow orchestration.Familiarity with distributed computing techniques, such as parallelprocessing and batch data management.Strong foundation in data system optimization, information security, and data governance.Ability to effectively communicate technical concepts to non-technical more »
projects.Qualifications and Skills:Proven experience in data engineering, particularly with ETL processes, data pipeline construction, and workflow orchestration.Familiarity with distributed computing techniques, such as parallelprocessing and batch data management.Strong foundation in data system optimization, information security, and data governance.Ability to effectively communicate technical concepts to non-technical more »
projects.Qualifications and Skills:Proven experience in data engineering, particularly with ETL processes, data pipeline construction, and workflow orchestration.Familiarity with distributed computing techniques, such as parallelprocessing and batch data management.Strong foundation in data system optimization, information security, and data governance.Ability to effectively communicate technical concepts to non-technical more »
and other related technologies. Expertise in both relational (SQL) and non-relational databases (such as Cassandra, MongoDB, DynamoDB), with a solid understanding of Massively ParallelProcessing (MPP) and non-MPP data storage systems. Data Systems Expertise: Strong background in data integration platforms, orchestrating complex data workflows and transformations … using tools such as DataStage, Informatica, and Data Factory. General knowledge of data storage, query, processing and exposition technologies and trade-offs Experience in the design and implementation of Data & Analytics (D&A) operation scaling process framework (DataOps and MLOps), in order to ensure the productivity, reliability and security more »
