What are the responsibilities and job description for the Dataiku Admin || Fulltime || Texas position at Jobs via Dice?
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Job Description
Must Have Technical/Functional Skills
Responsibilities of a Dataiku Administrator include managing the Dataiku DSS platform, which involves installation, configuration, and upgrades. They also handle user access management, ensuring compliance with data governance and security standards. Monitoring system health, troubleshooting performance issues, and optimizing execution environments like Apache Spark clusters are also key tasks. The role often requires collaboration with other teams to manage cloud infrastructure components and developing automation scripts for platform monitoring and user provisioning. Additionally, providing technical support to Dataiku users and maintaining technical documentation are important aspects of the job.
Preferred Qualifications:
Bachelor s degree or higher
Experience with containerization and cloud platforms (AWS
Knowledge of Dataiku (Unit, Mockito, Jest).
Familiarity with Agile/Scrum methodologies.
Understanding of Dataiku architecture
Roles & Responsibilities
To be a Dataiku Administrator, candidates typically need experience administering Dataiku DSS in a production setting. Strong technical skills are required, including expertise in Apache Spark and cloud services such as AWS, Azure, or Google Cloud Platform. Proficiency in scripting languages like Python and Bash, along with familiarity with containerization tools, is also often necessary. A Dataiku certification may be preferred. Essential soft skills include problem-solving, analytical thinking, and effective communication.
Generic Managerial Skills, If any
Problem-Solving: Strong analytical and problem-solving abilities to troubleshoot complex issues across different components.
Communication: Excellent communication and customer service skills to effectively interact with data scientists, IT teams, and management, often with varying levels of technical expertise.
Documentation: Ability to create clear, comprehensive technical documentation and guides.
Adaptability: Eagerness to learn and adapt to new technologies and updates within the rapidly evolving Posit and data science landscape.
Mentorship: Capability to act as a subject matter expert and mentor for users and junior administrators.
Job Description
Must Have Technical/Functional Skills
Responsibilities of a Dataiku Administrator include managing the Dataiku DSS platform, which involves installation, configuration, and upgrades. They also handle user access management, ensuring compliance with data governance and security standards. Monitoring system health, troubleshooting performance issues, and optimizing execution environments like Apache Spark clusters are also key tasks. The role often requires collaboration with other teams to manage cloud infrastructure components and developing automation scripts for platform monitoring and user provisioning. Additionally, providing technical support to Dataiku users and maintaining technical documentation are important aspects of the job.
Preferred Qualifications:
Bachelor s degree or higher
Experience with containerization and cloud platforms (AWS
Knowledge of Dataiku (Unit, Mockito, Jest).
Familiarity with Agile/Scrum methodologies.
Understanding of Dataiku architecture
Roles & Responsibilities
To be a Dataiku Administrator, candidates typically need experience administering Dataiku DSS in a production setting. Strong technical skills are required, including expertise in Apache Spark and cloud services such as AWS, Azure, or Google Cloud Platform. Proficiency in scripting languages like Python and Bash, along with familiarity with containerization tools, is also often necessary. A Dataiku certification may be preferred. Essential soft skills include problem-solving, analytical thinking, and effective communication.
Generic Managerial Skills, If any
Problem-Solving: Strong analytical and problem-solving abilities to troubleshoot complex issues across different components.
Communication: Excellent communication and customer service skills to effectively interact with data scientists, IT teams, and management, often with varying levels of technical expertise.
Documentation: Ability to create clear, comprehensive technical documentation and guides.
Adaptability: Eagerness to learn and adapt to new technologies and updates within the rapidly evolving Posit and data science landscape.
Mentorship: Capability to act as a subject matter expert and mentor for users and junior administrators.