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Tier-1 brand, metro Bangalore location, and a common Data Engineering Manager title increase candidate competition.
Data platform and cloud expertise transfer across industries, but managerial and tech depth require domain experience.
Explicit 8–10 years, required management plus SQL, Python, PySpark, and cloud experience make filters strict.
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Lead and manage teams of data engineers, including mentoring and reviewing daily work.
Architect and optimize scalable data platforms and pipelines using in-house eBay data technologies and cloud services (AWS/Azure).
Oversee end-to-end project delivery, ensuring alignment with business needs and managing risks, quality, and stakeholder communication.
8 to 10 years of experience in data engineering with previous team management roles.
Proficiency in SQL, Python, PySpark, and strong development experience with modern data stacks both on-premise and cloud (AWS/Azure).
Sound knowledge of database design, data modeling, data management, governance, and building semantic models.
Experience with Agile methodologies, Scrum, and project management tools like Jira.
Experienced technical leader comfortable bridging data engineering and data science functions to build scalable data products.
Operates effectively in collaborative environments interfacing with analytics and business stakeholders to align technical and business goals.
Demonstrates strong project delivery management skills with a focus on quality, risk mitigation, and team productivity.