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Job Description
Structured overview of role & requirementsAbout This Role
Support and monitor data build processes including ETL execution, data refreshes, and data management activities to meet SLAs.
Utilize AI-assisted tools for anomaly detection, process validation, and documentation to maintain data quality and operational efficiency.
Collaborate with Data Operations Support team to ensure timely data availability for multiple clients and contribute to continual process improvements through automation suggestions.
Minimum Requirements
Bachelor’s degree in Business, Engineering, Computer Science, or related field is highly desirable.
Basic understanding of databases, ETL processes, and data management concepts is required.
Basic computing skills including Linux, scripting, and SQL; willingness to learn Python is a plus.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Operates effectively in a data operations environment with a focus on monitoring and maintaining large data workflows and SLAs.
Comfortable leveraging AI-assisted tools to enhance operational tasks, including anomaly detection and documentation.
Eager to engage in continuous learning and applying scripting or automation to optimize data operations processes.