eTeam
Senior Technical Lead
eTeam, Cary, North Carolina, United States, 27518
Experience in designing the logical and physical data models for the Datawarehouse as per business requirementsIn-depth knowledge of Azure/AWS/GCP Cloud capabilities and services and how those relate to the development activities. familiarity with cryptographic algorithms and security protocols.Skilled in designing and building distributed systems for processing large data volumes.Excellent communication, presentation, and interpersonal skills are essential.
ResponsibilitiesLead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet business requirements.Develop comprehensive architecture solution roadmaps seamlessly integrating business processes and technologies.Design, develop and enforce standards for data storage, processing, and governance across all environments.Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns.Develop, document, and maintain overall view of data platform architecture, data acquisition, data quality, and data retention.Provide guidance in administration of ETL jobs including developing best practicesProvide formal and informal training for data engineers, platform engineers and ETL developers.Maintain knowledge of emerging technologies and architectures 7-12 Years Data Fabric-Azure-Azure Functions
Experience in designing the logical and physical data models for the Datawarehouse as per business requirementsIn-depth knowledge of Azure/AWS/GCP Cloud capabilities and services and how those relate to the development activities. familiarity with cryptographic algorithms and security protocols.Skilled in designing and building distributed systems for processing large data volumes.Excellent communication, presentation, and interpersonal skills are essential.
ResponsibilitiesLead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet business requirements.Develop comprehensive architecture solution roadmaps seamlessly integrating business processes and technologies.Design, develop and enforce standards for data storage, processing, and governance across all environments.Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns.Develop, document, and maintain overall view of data platform architecture, data acquisition, data quality, and data retention.Provide guidance in administration of ETL jobs including developing best practicesProvide formal and informal training for data engineers, platform engineers and ETL developers.Maintain knowledge of emerging technologies and architectures
ResponsibilitiesLead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet business requirements.Develop comprehensive architecture solution roadmaps seamlessly integrating business processes and technologies.Design, develop and enforce standards for data storage, processing, and governance across all environments.Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns.Develop, document, and maintain overall view of data platform architecture, data acquisition, data quality, and data retention.Provide guidance in administration of ETL jobs including developing best practicesProvide formal and informal training for data engineers, platform engineers and ETL developers.Maintain knowledge of emerging technologies and architectures 7-12 Years Data Fabric-Azure-Azure Functions
Experience in designing the logical and physical data models for the Datawarehouse as per business requirementsIn-depth knowledge of Azure/AWS/GCP Cloud capabilities and services and how those relate to the development activities. familiarity with cryptographic algorithms and security protocols.Skilled in designing and building distributed systems for processing large data volumes.Excellent communication, presentation, and interpersonal skills are essential.
ResponsibilitiesLead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet business requirements.Develop comprehensive architecture solution roadmaps seamlessly integrating business processes and technologies.Design, develop and enforce standards for data storage, processing, and governance across all environments.Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns.Develop, document, and maintain overall view of data platform architecture, data acquisition, data quality, and data retention.Provide guidance in administration of ETL jobs including developing best practicesProvide formal and informal training for data engineers, platform engineers and ETL developers.Maintain knowledge of emerging technologies and architectures