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>> Develop and maintain comprehensive project plans, including schedules, budgets, and resource allocation.
>> Monitor progress against deliverables, timelines, and budgets, making adjustments as needed.
>> Apply project management methodologies (Agile, Scrum, etc.) tailored to project and team requirements.
>> Lead, mentor, and motivate the data engineering team, fostering a collaborative and high-performance culture.
>> Manage team dynamics, resolve conflicts, and conduct performance reviews.
>> Support career development goals and encourage continuous technical learning and skill-building.
>> Provide technical leadership in data architecture, modeling, integration, and warehousing.
>> Guide the team through complex technical challenges and ensure adoption of best practices.
>> Stay current with emerging data engineering technologies and project management trends.
>> Ensure delivery of reliable, high-quality data solutions.
>> Oversee implementation of QA practices, including code reviews and automated testing.
>> Enforce compliance with data security, privacy, and regulatory standards.
>> Identify risks related to timelines, resources, and technology dependencies.
>> Develop risk mitigation strategies and contingency plans for critical project phases.
>> Optimize allocation of human and technical resources for efficient project delivery.
>> Oversee the adoption and management of tools and platforms to align with project needs.
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