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As a Senior Team Lead in Data Systems Administration at ZoomInfo, you will be responsible for managing and providing mentorship to a team, executing tools roadmap, administrating and provisioning data warehouse systems, proactive monitoring, developing strategic solutions, and sharing expertise with others.

Lead the design and development of large-scale distributed data processing pipelines using Apache Spark, Apache Beam, and Apache Airflow. Collaborate with cross-functional teams to deliver projects and initiatives while mentoring junior engineers and ensuring data governance and security best practices.

Develop and maintain full-stack features of a marketing platform using Next.js, React, Node.js, and other technologies. Collaborate with design teams and stakeholders, solve technical problems, and deliver high-quality code. Requires a technical background in modern programming languages and a Bachelor's degree in Computer Science.

Looking for a highly skilled full-stack engineer to join the Workflow-Engine team at ZoomInfo in Ra'anana. Responsibilities include developing and maintaining the Workflows App frontend and engine system, designing and executing roadmaps, and collaborating with other teams. Qualifications include 5 years of hands-on software development experience, expertise in Node.js, Angular, and backend technologies.

The Senior DevOps Engineer at ZoomInfo is responsible for thorough documentation, championing best practices, creating internal products, managing software development lifecycle, deploying and managing infrastructure, working with cloud and container infrastructure, configuring Linux based tools, and continuous improvement of infrastructure for high availability and observability.

Seeking a seasoned Angular developer to lead the development and optimization of a component library, mentor juniors, champion best practices, and drive library adoption internally and externally.

ZoomInfo is seeking an experienced professional to lead their data science team, overseeing a remote global team. Responsibilities include managing, mentoring, and leading the team, coordinating project planning, driving execution of data science initiatives, and evangelizing ML capabilities.