Job Title

Job Description Job Summary: The Operations Engineer will work in collaboration with and under the direction of the Manager of Data Engineering, Advanced Analytics to provide operational services, governance, and incident management solutions for the Analytics team. This includes modifying existing data ingestion workflows, releases to QA and Prod, working closely with cross functional teams and providing production support for daily issues.Essential Job Functions: * Takes ownership of customer issues reported and see problems through to resolution. * Researches, diagnoses, troubleshoots and identifies solutions to resolve customer issues. * Follows standard procedures for proper escalation of unresolved issues to the appropriate internal teams. * Provides prompt and accurate feedback to customers. * Ensures proper recording and closure of all issues. * Prepares accurate and timely reports. * Documents knowledge in the form of knowledge base tech notes and articles.Other Responsibilities : * Be part of on-call rotation. * Support QA and production releases, off-hours if needed. * Work with developers to troubleshoot issues. * Attend daily standups. * Create and maintain support documentation (Jira/Confluence).Minimum Qualifications and Job Requirements: * Proven working experience in enterprise technical support. * Basic knowledge of systems, utilities, and scripting. * Strong problem-solving skills. * Excellent client-facing skills. * Excellent written and verbal communication skills. * Experience with Microsoft Azure including Azure Data Factory (ADF), Databricks, ADLS (Gen2). * Experience with system administration and SFTP. * Experience leveraging analytics team tools such as Alteryx or other ETL tools. * Experience with data visualization software (e.g. Domo, Datorama). * Experience with SQL programming. * Experience automating routine data tasks using various software tools (e.g., Jenkins, Nexus, SonarQube, Rundeck, Task Scheduler).