Data Analysis Programmer

As a GCP Data Engineer, you will be responsible for designing, building, and supporting GCP based ecosystems for enterprise-wide data analysis. Your key responsibilities will include: - Bringing new data sources into GCP, transforming and loading them to databases. - Providing technical leadership across GCP teams for the design and delivery of GenAI/LLM-based solutions. - Identifying, designing, and implementing internal process improvements, automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability. - Developing and reviewing data management plans, architecture plans, data transfer plans, and data security and privacy plans to ensure systems meet security and technical requirements. - Developing and reviewing standard operating procedures to maintain high standards for data organization, quality, and security. - Providing leadership in developing standards and best practices. - Building analytics tools to generate actionable insights into operational efficiency, service delivery, and policy evaluation. - Delivering consistent and reliable processes and high-quality output on independent and team projects. - Collaborating closely with team members to execute development initiatives using Agile practices. - Participating in large-scale development projects involving multiple areas outside of the core team. - Designing fit-for-purpose products to ensure alignment with customer's strategic plans and technology roadmaps. - Sharing knowledge and experience to contribute to the growth of overall team capabilities. - Participating in the deployment, change, configuration, management, administration, and maintenance of deployment process and systems. - Working closely with management, architects, and other teams to develop and implement projects. - Actively participating in technical group discussions and adopting innovative technologies to improve development and operations. - Rapidly developing prototypes and delivering just-in-time solutions. - Gathering requirements, designing, constructing, and delivering solutions with minimal team interaction. You will play a crucial role in shaping the data ecosystem and driving innovation within the organization. As a GCP Data Engineer, you will be responsible for designing, building, and supporting GCP based ecosystems for enterprise-wide data analysis. Your key responsibilities will include: - Bringing new data sources into GCP, transforming and loading them to databases. - Providing technical leadership across GCP teams for the design and delivery of GenAI/LLM-based solutions. - Identifying, designing, and implementing internal process improvements, automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability. - Developing and reviewing data management plans, architecture plans, data transfer plans, and data security and privacy plans to ensure systems meet security and technical requirements. - Developing and reviewing standard operating procedures to maintain high standards for data organization, quality, and security. - Providing leadership in developing standards and best practices. - Building analytics tools to generate actionable insights into operational efficiency, service delivery, and policy evaluation. - Delivering consistent and reliable processes and high-quality output on independent and team projects. - Collaborating closely with team members to execute development initiatives using Agile practices. - Participating in large-scale development projects involving multiple areas outside of the core team. - Designing fit-for-purpose products to ensure alignment with customer's strategic plans and technology roadmaps. - Sharing knowledge and experience to contribute to the growth of overall team capabilities. - Participating in the deployment, change, configuration, management, administration, and maintenance of deployment process and systems. - Working closely with management, architects, and other teams to develop and implement projects. - Actively participating in technical group discussions and adopting innovative technologies to improve development and operations. - Rapidly developing prototypes and delivering just-in-time solutions. - Gathering requirements, designing, constructing, and delivering solutions with minimal team interaction. You will play a crucial role in shaping the data ecosystem and driving innovation within the organization.