Data Engineer - Incident Management

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, GCP) and big data technologies (e.g., Hadoop, Spark) is highly desirable.