Senior Cloud Data Engineer

Duties and Responsibilities: Continuously monitor enterprise systems, network operations, and application performance through advanced monitoring tools. Identify and respond to alerts in real time to prevent disruptions and ensure high system availability. Use ETL Integration Platforms (e.g., Azure Data Factory) and MDM Systems (Stibo STEP, Reltio) to oversee and optimize data flows across multiple systems. Ensure data consistency, accuracy, and integrity by implementing robust monitoring processes for data pipelines. Diagnose and resolve technical issues within Databricks, Cosmos DB, and Azure Pipelines, ensuring minimal downtime. Collaborate with infrastructure, application, and engineering teams to resolve complex incidents and perform root cause analysis. Work closely with IT, data engineers, and business units to identify performance bottlenecks and implement solutions. Communicate technical findings and remediation plans to non-technical partners effectively. Perform scheduled maintenance, system upgrades, and release deployments with minimal impact to operations. Develop and implement automation scripts to streamline monitoring and alerting processes, enhancing system reliability. Create and maintain comprehensive documentation, including standard operating procedures (SOPs), configuration details, and incident resolution guides. Actively contribute to the team's knowledge base and training materials to support the development of team members. Stay updated on the standard processes for ensuring system resiliency, high availability, and disaster recovery. Recommend and implement improvements to enhance platform performance, scalability, and security. Ensure compliance with organizational security policies and standards, including data protection and governance requirements. Participate in audits and support regulatory compliance initiatives. Qualifications and Requirements: Bachelors degree or equivalent experience in Information Technology, Computer Science, or a related field. Equivalent practical experience will also be considered. Proficient with monitoring and managing data integration using ETL platforms, Databricks, Cosmos DB, and Azure Pipelines. Hands-on experience with MDM systems such as Stibo STEP and Reltio. Experience with network and application monitoring tools (e.g., Splunk, Dynatrace, or Azure Monitor). Familiarity with synthetic monitoring platforms for proactive web and API performance testing. Solid ability to troubleshoot and resolve system performance issues, even in high-pressure situations. Capable of performing root cause analysis and developing actionable insights to prevent recurring issues. Excellent verbal and written communication skills for engaging with technical teams and non-technical collaborators. Experience working effectively in a multi-functional, collaborative environment. Willingness to work in a high-pressure environment with flexible shifts to provide 24x7 support. Enthusiastic about learning new tools, technologies, and practices to improve system monitoring and operations.

Location: bangalore, IN

Posted Date: 4/30/2025