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Tier-1 employer and metro location increase competition despite senior-level, specialized data engineering requirements.
Data engineering skills are transferable across industries but senior management expectation moderately limits mobility.
Explicit 10–15 years, management requirement, and mandatory tech skills make hiring filters very strict.
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Lead and mentor data engineering teams, managing daily work and overall team performance.
Architect and optimize scalable data platforms using eBay's in-house technologies and cloud services (AWS/Azure).
Oversee project delivery lifecycle, ensuring timely completion aligned with business needs and stakeholder management.
10 to 15 years of experience in data engineering with prior team management roles.
Proficiency in modern data stack development including SQL, Python, PySpark on cloud platforms like AWS or Azure.
Strong knowledge of database design, data modelling, data management, and governance.
Experience with Agile methodologies, Scrum, and tools like Jira for project management.
Experienced leader capable of balancing technical platform architecture with team development and project delivery.
Skilled in stakeholder engagement aligning technical solutions with business objectives, particularly in analytics contexts.
Comfortable operating in large-scale ecommerce or analytics environments with complex data ecosystems.