Key Responsibilities:

• Actively monitor slack channels for issues, performing root cause analysis to diagnose problems and implement effective solutions.
• Work collaboratively with cross-functional engineering teams to resolve data incidents rapidly and improve data handling practices.
• Be proactive in identifying potential data issues before they escalate, suggesting preventive measures and improvements.
• Ensure compliance with data governance and security policies throughout incident resolution processes.
• Document incidents, resolutions, and learnings to foster a culture of continuous improvement and knowledge sharing.
• Summarize the incident understanding for easier consumption of senior stakeholders

Requirements:

• Bachelor s degree in Computer Science, Engineering, Information Systems, or related field.
• Proven experience in data engineering, particularly in an incident management or similar role.
• Strong foundational knowledge of data warehouse architecture, ETL processes, and SQL.
• Excellent problem-solving skills and the ability to work under pressure in an ambiguous environment.
• Exceptional communication skills, with a proven track record of working effectively with technical and non-technical teams.
• A proactive approach to identifying and resolving data issues, with a focus on long-term system health.
• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform) and big data technologies (e.g., Hadoop, Spark) is highly desirable.