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7 days ago
This role involves optimizing and automating large-scale data applications, ensuring system reliability and performance using various Azure services. We are seeking a skilled professional to develop a deep understanding of the business and analyze the end-to-end customer journey.
","Key Responsibilities:","- ","
- Collaborate with stakeholders to enhance service design, visibility, availability, scalability, and performance.","
- Work closely with Data Engineering teams to implement necessary improvements and enhancements.","
- Identify and escalate potential production-impacting issues proactively in collaboration with Engineering teams.","
- Automate manual processes efficiently, conduct in-depth incident analysis, and drive blameless postmortems.","
- Optimize alert management, decision-making, and performance analysis by leveraging standardized telemetry data.","
- Assist in deployment, post-deployment monitoring, and dashboard/alert creation to track system changes effectively.","
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- 8+ years of experience in software development, technical operations, and managing large-scale applications.","
- 7+ years of experience in developing or supporting Azure Data Factory (API & API Management), Azure Databricks, Azure DevOps, Azure Data Lake Storage, SQL, Synapse Data Warehouse, and Azure Cosmos DB.","
- 5+ years of hands-on experience in Data Engineering and coding.","
- Experience in data virtualization products like Denodo is desirable.","
- Holding an Azure Data Engineer or Solutions Architect certification is a plus.","
- Experience with container platforms such as Docker and Kubernetes, assessing applications/platforms periodically for architectural improvements.","
- Apply strong troubleshooting skills to quickly identify and resolve application issues with minimal business impact.","
- Handle high-volume, mission-critical applications with hands-on experience.","
- Utilize expertise in IT tools, techniques, systems, and solutions to drive operational excellence.","
- Lead triage calls with multiple technical stakeholders and communicate effectively across teams.","
- Solve cross-functional issues creatively, adapting to changing priorities.","
- Manage escalations effectively, taking full ownership of critical issues to ensure timely resolution.","
- Basic knowledge of Data Science and Machine Learning (DSML), Artificial Intelligence/Machine Learning (AI/ML), and Machine Learning Operations (ML Ops).","
- Familiarity with Azure Event Hub, IoT Hub, and Azure Application Insights.","
- Knowledge of the IT Infrastructure Library (ITIL) framework and IT Service Management (ITSM) tools.","
- Understanding of SAP HANA and willingness to work in rotational shifts.","
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