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Lead Data Engineer and Operations Specialist
2 weeks ago
To effectively lead and manage a team of data engineering operations specialists, ensuring the efficient delivery of data engineering services, including change requests, platform maintenance, and environment stability.
Key Responsibilities- Team Leadership: Provide clear direction, goals, and performance expectations to the data engineering team.
- Mentorship and Development: Mentor, coach, and develop team members, fostering their technical skills and professional growth.
- Workload Management: Manage team workload, prioritize tasks, and ensure balanced resource allocation.
- Performance Monitoring: Conduct regular team meetings, provide feedback, and address any performance issues.
- Collaboration and Team Environment: Foster a collaborative and positive team environment, promoting knowledge sharing and mutual support.
- Day-to-Day Operations: Oversee the day-to-day operations of the data engineering team, ensuring smooth execution of tasks and adherence to SLAs.
- Change Request Management: Manage and prioritize change requests, coordinating with relevant teams to ensure timely and effective implementation.
- Data Platform Maintenance: Contribute to the maintenance of data platform stability and availability, participating in troubleshooting and problem-solving efforts.
- Preventive and Corrective Actions: Assist in the planning and execution of preventive and corrective actions to minimize environment disruptions.
- Data Platform Performance: Monitor data platform performance, identify potential issues, and recommend improvements.
- Vendor Engagement: Engage with product vendors for enhancements and issue resolution.
- Platform Enhancements: Contribute to the planning for platform enhancements and new product implementations.
- Performance Change Requests: Participate in the assessment of performance change requests.
- Change Request Orchestration: Assist in the orchestration of change requests, coordinating with different teams and managing expectations.
- Resource Planning: Contribute to resource planning and allocation within the data engineering team.
- Stakeholder Communication: Communicate effectively with stakeholders, including PMOs, development teams, and vendors.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to address data-related challenges and ensure seamless service delivery.
- Issue Resolution: Participate in command center bridges for issue troubleshooting and resolution.
A Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience in the data management domain (BI, Data Engineering, and Governance), with at least 2 years in a team lead or supervisory role. Strong experience in data management operations, including data pipelines, business intelligence, data quality, data catalog, master data management, big data, data virtualization, and data APIs. Proven ability to lead, motivate, and develop a team of technical professionals. Experience in managing change requests and coordinating with cross-functional teams. Solid understanding of data platform maintenance and stability best practices. Excellent problem-solving, analytical, and communication skills.
Required SkillsEssential Skills: Familiarity with IT service management (ITSM) tools and methodologies, experience with DevOps practices and cloud computing concepts, knowledge of scripting languages such as Python or PowerShell, experience with performance monitoring and optimization tools, experience working in a multicultural environment, fluency in English is a must, fluency in Arabic is a plus.