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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, Bangalore location, managerial data role with broad skill requirements increases candidate competition.
Core data engineering and cloud skills transfer easily across industries, enabling broad candidate applicability.
Explicit 8–10 years, managerial requirement and specific data stack skills make shortlisting stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage data engineering teams responsible for building and optimizing scalable data platforms and pipelines.
Architect scalable data ecosystems using in-house eBay platforms and cloud technologies to support business and data science needs.
Oversee project delivery, track metrics, manage risks, and collaborate with analytics and business leaders to align technical solutions with goals.
Minimum Requirements
8 to 10 years of experience in data engineering with previous team management.
Strong technical skills in SQL, Python, PySpark, and modern data stacks both on-prem and cloud (AWS/Azure).
Expertise in database design, data modelling, data management, governance, and building semantic models.
Experience with Agile methodologies, Scrum, and project tracking tools like Jira.
Ideal Candidate Profile
Experienced in leading cross-functional engineering teams focused on data platform development and optimization.
Strong technical leader comfortable bridging technical execution and stakeholder management at business and analytics levels.
Skilled in managing end-to-end delivery lifecycle in complex data environments, ensuring quality and timely project outcomes.