Data Engineer

Responsible for designing, building, and supporting GCP based ecosystems designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.

Bring new data sources into GCP, transform and load to databases.

Provide technical leadership across Google Cloud Platform (GCP) teams to lead the design and delivery of next-generation GenAI/LLM-based solutions.

Identify, design, and implement internal process improvements, automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.

Develop and review data management plans, architecture plans, data transfer plans, and data security and privacy plans, including event monitoring and auditing guidelines, to ensure that systems meet security and technical requirements.

Develop and review standard operating procedures to meet high standards for data organization, quality, and security.

Provide leadership in developing standards and best practices.

Build analytics tools to provide actionable insights into operational efficiency, service delivery, and policy evaluation.

Deliver consistent and reliable processes and high-quality output on independent and team projects.

Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles.

Participates in large-scale development projects involving multiple areas outside of core team.

Designs fit-for-purpose products to ensure products align to the customer's strategic plans and technology road maps.

Shares knowledge and experience to contribute to growth of overall team capabilities. Participates in the deployment, change, configuration, management, administration and maintenance of deployment process and systems.

Work closely with management, architects, and other teams to develop and implement the projects.

Actively participate in technical group discussions and adopt any innovative technologies to improve the development and operations.

Rapidly develop prototypes and deliver just-in-time solutions.

Gather requirements, designs, constructs, and deliver solutions with minimal team interaction.