Data Engineer EDS Review
Data Engineer EDS Review
Review specific to data services in PayPal Chennai.
- Few good managers and leads. They have challenging assignments in latest technology and great visibility. Team names: Visualization, Enterprise.
- Free snacks, free transport, free WiFi, free gym, free badminton court, basketball court. Independent contributor.
- Many events conducted: hackathons, bring your kids to work day, annual day.
- Many sessions on latest technologies and domain knowledge shared.
Projects are driven from Onshore, hence the Chennai team has no control on the timeline. You have to stretch.
Some bad managers and leads will do anything to save their jobs and appraisals. They play all kinds of extreme politics, comparable to a Bigg Boss serial.
Don't join as a contractor called an Alternate Work Force (AWF) in Chennai. You are the sugarcane from which the juice is extracted and enjoyed by managers and onshore counterparts.
Due to work, you lose health. I have seen literally every permanent employee having some health issue in Chennai.
Expect to support on all leaves, weekends, and holidays in case of an issue, no matter if it is priority 0 or priority infinite.
No advice, because they won't listen. It's a waste of time and energy speaking with them.
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PayPal Interview Questions
PayPal Interview Experiences
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Data Engineer
Chennai, Tamil Nadu, IndiaJanuary 1, 2013There were four rounds of interviews, ranging from puzzles to coding and data structures. Questions covered data structures, coding complexity, sorting algorithms, and C pointers. There were a whiteboard coding session and two puzzles. * Write a p
Data Engineer
Bengaluru, Karnataka, IndiaAugust 1, 2021The first round was about project experience, and I was asked to write SQL queries and some Unix commands. After five days, the second round started with a difficult SQL problem that I could not solve. I answered other questions well. Both rounds we
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IndiaDecember 26, 2021The interview was mostly based on SQL knowledge, with a few questions on handling big data. How would you join the tables given a few scenarios? There were basically two technical rounds. Minimum knowledge of big data technology is needed.
