Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Bengaluru · On-site · 10-13 Yrs · Aug 14
Internet & Web Services · 10000+ Employees · San Jose, US
At eBay, we create pathways to connect millions of sellers and buyers in more than 190 markets around the world. Our technology empowers our customers, providing everyone the opportunity to grow and thrive — no matter who they are or where they are in the world. And the ripple effect of our work creates waves of change for our customers, our company, our communities and our planet.
Hiring: Engineering
What employees say
+ flexible growth stability work culture
− Politics work pressure micro management Salalry
More reviews on the company profile.
Interview experience · Machine Learning Engineer
Coding, ML depth and breadth, system design, and Leadership. Coding was easy and medium LeetCode style. Mostly around strings and arrays. The interviewer was friendly and supportive and made me comfortable during the rou
Average difficulty · Bengaluru · 89 reports
More interview insightsJob description
Overview
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Responsibilities
- Team Leadership: Manage, mentor, and grow teams of engineers while reviewing their daily work.
- Platform Architecture: Architecting and tuning scalable data ecosystems using inhouse eBay data platforms.
- Delivery Management: Oversee the data engineering development lifecycle. Ensure projects are finished on time and fit business needs.
- Risk & Quality Control: Track project metrics, fix issues, and manage risks to keep team productivity high.
- Stakeholder Interaction: Work directly with analytics and business leaders to align technical plans with business goals.
Qualifications
- Technical Skills:
- Strong development background in modern data stacks on-prem and cloud : AWS / Azure. Expertise in SQL, Python, PySpark.
- Sound understanding of DB Design, Data Modelling, Data Management and Governance, Building semantic models.
- Frameworks: Strong knowledge of Agile practices, Scrum, and project tracking tools like Jira.
- Soft Skills: Great communication, conflict resolution, and problem-solving abilities.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile