| SAP Cloud Platform Integration (CPI) - ONSITE at Raleigh, North Carolina, USA |
| Email: [email protected] |
| From: Devakar Balachandran, KK Software Associates [email protected] Reply to: [email protected] Note: Please don't share OPT, CPT, H4EAD, TN, L2 and E3 Client: TCS Location: Raleigh, NC / NEW YORK 1, NY / CHARLOTTE~Edison / ONSITE JD: Role name: Developer Role Description: The individual will be responsible for designing and engineering Cloud Data platforms . The individual will require to ensure high level of customer satisfaction for all Business users of the Data Lake platform. The role designs Data Platform systems that are appropriate for applications, customer needs and consistent with the overall design of the organizations information systems architecture. Under limited supervision, this job is responsible for the solution engineering and design, provisioning, delivery, service management, continuous automations of the organizations Data Platform systems. This role is hybrid. Key Functions: Develop and deliver data platform and data engineering solutions to ingest and provision develop automation pipelines to ingest or provision data to or from Cloud platforms. Design, develop and deliver cloud Data Platform solutions and develop/manage automation pipelines to handle Data Platform needs. Practice Infrastructure as code(IaC) to develop automation routines and integration flows to manage state of the Data Lake platform systems. Platform Engineering: Facilitate setup of Data Lake platform and enable the platform with required security controls including encryption, masking, certificate/keys rotation etc. Collaborates with developers, analysts, various system administrators to identify system requirements in designing efficient Data Platform solutions and interfaces. Identifies and documents all system constraints, implications, and consequences of various proposed system changes. Reviews technical documentation to guide platform users and to assist with the ongoing operation, maintenance, and development of the system. Evaluates the efficiency and effectiveness of Platform operations and troubleshooting problems. Deploy, automate, maintain, and manage AWS cloud-based systems across SDLC environments, to ensure the availability, performance, scalability, and security of the Data Lake Platform. Manage the governance framework for DB-Services specific to private, hybrid and public cloud platform adhering to standards and integration with existing tools. Data Engineering: Provide expert level IT technical lead services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools in a cloud platform. Responsible for development of cloud integrations and data migrations to support operations of Cloud infrastructure, provisioning, monitoring with IaaS and PaaS models. Partner with Developers, various system administrators to ensure effective implementation of the data pipelines according to the business needs. Collaborates with Business Analysts and Product Managers to identify business requirements in designing efficient data pipelines and interfaces. Implement version management and deployment of data pipelines using Nuveen approved CI/CD methodologies. Participate in all recurring operations meetings t Competencies: Digital : Microsoft Azure, Digital : SAP Cloud Platform Integration (CPI) Experience (Years): 8-10 Essential Skills: The individual will be responsible for designing and engineering Cloud Data platforms . The individual will require to ensure high level of customer satisfaction for all Business users of the Data Lake platform. The role designs Data Platform systems that are appropriate for applications, customer needs and consistent with the overall design of the organizations information systems architecture. Under limited supervision, this job is responsible for the solution engineering and design, provisioning, delivery, service management, continuous automations of the organizations Data Platform systems. This role is hybrid. Key Functions: Develop and deliver data platform and data engineering solutions to ingest and provision develop automation pipelines to ingest or provision data to or from Cloud platforms. Design, develop and deliver cloud Data Platform solutions and develop/manage automation pipelines to handle Data Platform needs. Practice Infrastructure as code(IaC) to develop automation routines and integration flows to manage state of the Data Lake platform systems. Platform Engineering: Facilitate setup of Data Lake platform and enable the platform with required security controls including encryption, masking, certificate/keys rotation etc. Collaborates with developers, analysts, various system administrators to identify system requirements in designing efficient Data Platform solutions and interfaces. Identifies and documents all system constraints, implications, and consequences of various proposed system changes. Reviews technical documentation to guide platform users and to assist with the ongoing operation, maintenance, and development of the system. Evaluates the efficiency and effectiveness of Platform operations and troubleshooting problems. Deploy, automate, maintain, and manage AWS cloud-based systems across SDLC environments, to ensure the availability, performance, scalability, and security of the Data Lake Platform. Manage the governance framework for DB-Services specific to private, hybrid and public cloud platform adhering to standards and integration with existing tools. Data Engineering: Provide expert level IT technical lead services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools in a cloud platform. Responsible for development of cloud integrations and data migrations to support operations of Cloud infrastructure, provisioning, monitoring with IaaS and PaaS models. Partner with Developers, various system administrators to ensure effective implementation of the data pipelines according to the business needs. Collaborates with Business Analysts and Product Managers to identify business requirements in designing efficient data pipelines and interfaces. Implement version management and deployment of data pipelines using Nuveen approved CI/CD methodologies. Participate in all recurring operations meetings t Desirable Skills: The individual will be responsible for designing and engineering Cloud Data platforms . The individual will require to ensure high level of customer satisfaction for all Business users of the Data Lake platform. The role designs Data Platform systems that are appropriate for applications, customer needs and consistent with the overall design of the organizations information systems architecture. Under limited supervision, this job is responsible for the solution engineering and design, provisioning, delivery, service management, continuous automations of the organizations Data Platform systems. This role is hybrid. Key Functions: Develop and deliver data platform and data engineering solutions to ingest and provision develop automation pipelines to ingest or provision data to or from Cloud platforms. Design, develop and deliver cloud Data Platform solutions and develop/manage automation pipelines to handle Data Platform needs. Practice Infrastructure as code(IaC) to develop automation routines and integration flows to manage state of the Data Lake platform systems. Platform Engineering: Facilitate setup of Data Lake platform and enable the platform with required security controls including encryption, masking, certificate/keys rotation etc. Collaborates with developers, analysts, various system administrators to identify system requirements in designing efficient Data Platform solutions and interfaces. Identifies and documents all system constraints, implications, and consequences of various proposed system changes. Reviews technical documentation to guide platform users and to assist with the ongoing operation, maintenance, and development of the system. Evaluates the efficiency and effectiveness of Platform operations and troubleshooting problems. Deploy, automate, maintain, and manage AWS cloud-based systems across SDLC environments, to ensure the availability, performance, scalability, and security of the Data Lake Platform. Manage the governance framework for DB-Services specific to private, hybrid and public cloud platform adhering to standards and integration with existing tools. Data Engineering: Provide expert level IT technical lead services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools in a cloud platform. Responsible for development of cloud integrations and data migrations to support operations of Cloud infrastructure, provisioning, monitoring with IaaS and PaaS models. Partner with Developers, various system administrators to ensure effective implementation of the data pipelines according to the business needs. Collaborates with Business Analysts and Product Managers to identify business requirements in designing efficient data pipelines and interfaces. Implement version management and deployment of data pipelines using Nuveen approved CI/CD methodologies. Participate in all recurring operations meetings t Country: United States Keywords: continuous integration continuous deployment database information technology trade national New York North Carolina Tennessee SAP Cloud Platform Integration (CPI) - ONSITE [email protected] |
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| Wed May 15 06:36:00 UTC 2024 |