Hive and SQL Specialist

Technical Expertise

• Manage and analyze large datasets using Hive and SQL, ensuring data integrity and performance optimization.
• Develop, maintain, and optimize data pipelines and ETL processes.
• Collaborate with data engineers and analysts to design and implement scalable, efficient data solutions.

Product Ownership

• Serve as the Product Owner for Incident Management, defining and prioritizing product backlogs to align with business objectives.
• Gather requirements from stakeholders, create user stories, and articulate a clear product vision.
• Lead agile ceremonies (sprint planning, daily stand-ups, retrospectives) to ensure focused and efficient product development cycles.

Incident Management

• Oversee the incident management lifecycle, ensuring prompt resolution of incidents to minimize downtime.
• Establish and implement policies and procedures for incident management to improve system reliability.
• Work with cross-functional teams to identify root causes, implement corrective actions, and develop preventative strategies.

Collaboration and Communication

• Build strong relationships with stakeholders across teams to foster alignment and cooperation.
• Provide regular updates on product development progress, incident management status, and performance metrics to senior management.
• Conduct workshops and training sessions to upskill teams in best practices and emerging technologies.

• Proficiency in Hive and SQL, with experience in data management, analytics, and ETL pipeline development.
• Demonstrated experience as a Product Owner, particularly in incident management environments.
• Strong understanding of incident management frameworks, root cause analysis, and corrective action planning.
• Excellent communication and leadership skills to manage stakeholders and cross-functional teams effectively.
• Familiarity with Agile methodologies and tools.

• Experience in data engineering or analytics roles.
• Certifications in Product Ownership or Incident Management.
• Knowledge of additional big data technologies and tools.