Back
Tier-1 brand and Bengaluru metro increase applicant competition, while senior experience requirement narrows the pool.
Core data engineering and cloud skills transfer easily across industries.
Explicit 10-15 years, managerial expectation, and mandatory tech stack create strict shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Manage and mentor data engineering teams focusing on building and optimizing scalable data platforms using eBay's inhouse infrastructure.
Oversee project delivery lifecycle ensuring timely completion aligned with business requirements and maintain high team productivity through risk and quality control.
Collaborate directly with analytics and business stakeholders to align technical solutions with business goals.
10 to 15 years of experience in data engineering with previous team management.
Proficient in modern data stacks on-premises and cloud platforms (AWS/Azure).
Strong skills in SQL, Python, PySpark; knowledgeable in database design, data modeling, data management, governance, and semantic model building.
Experience with Agile methodologies, Scrum, and project tracking tools such as Jira.
Experienced leader capable of managing and scaling engineering teams in complex data environments.
Technically strong with hands-on expertise in building and tuning large-scale data ecosystems both on-cloud and on-prem.
Comfortable working closely with business and analytics leaders to translate strategy into technical execution.