Zepto Data Science Engineer salaries in India

Likes

Nothing Much to highlight as everyone thinks and every company does

Dislikes

...work. --Poor Management makes everyone suffer and best example is this company. --I will never blame the company as I already knew the company culture is too toxic and I adamantly joined because of salary which become fish bait nowadays. -- Very bad data engineering team all the time they will be unavailable, whenever u get struck or need a help to get clarity of correct data flow or table refresh or anything data engineering team wont be available and if one data engineer is there for 3 months he will be leaving the company and another person will be joining so finding exact table and correct schema is a problem --I was in Product Analytics team IDK what to say, the leads they themselves doesn't know how to schedule a query in superset and they will expecting the data should be clean and neat within fraction of second without giving any source or data loc --we used redshift and postgres DB extensively to manipulate and to crunch numbers -- Product managers idk what to say they will be asking you to pull 3 months data lets consider that if this company makes 3 lakh orders per day and the order has 12 different legs like dispatch, delivery, arrival, everything how can someone crunch 3 months data they totally dont understand the accessability of the databases and the bandwidth and dont even hear our suggestions --- Salary will be the main issue here pls get a clarity that salary should be strictly credited on time whether u are in office or zepto made profit or not --- Poor time management -- blame game politics -- No cafeteria -- no place to sit -- very congested with only 3 rows of table -- they promised me it will be hybrid job after 1 month they forced me to come to office -- Very bad laptops with poor configs -- No proper BI Tool -- I thought people here will help me with tables names, schemas and the exact location of the data but the people here just like me they are also very new and they are also wondering where should I locate the data -- bad induction -- Tier 1 college vs other college attitudes -- Product analytics lead is a funny guy he doesnt even know how to convert a timestamp in SQL -- no lift in the building should climb 2 floors through stairs -- no extra benefits -- no paid vacations and most of the time you guys will definitely work on weekends also. -- people will insult you if you ask y database is acting slow. -- if you don't want to spend 13-14 hrs in work on daily basis then this is not a company for u -- strong leakage in management -- poor corporate culture -- even for excel access you have to wait for 3 days. -- to pull a particular rider id or order related details you need to join 11 or 12 tables together to pull the data which will make ur work even worse as normalization is not done properly where u cannot find any relationship between the tables. -- NO WORK LIFE BALANCE this job will eat ur brain and health

Likes

...tes are supportive and management is transparent.company policies are very good.they give good salary and bonus every year..

Dislikes

Salary is decent but career growth is slow....

Likes

...orning shift till training . I wish I get morning shift after training as well . Training will last for 2 weeks till then you will whole salary including pf . After training pf would be separated n u will get the rest salary .

Dislikes

They didn't took my interview same day . It took 2 days still my offer letter will be given at joining . Second thing rotational shifts .

Likes

Good platform for new and further future

Dislikes

Salary is lo and Flipkart is beating on zepto this is not a fear zepto to increase si salary becuz all stocks and store management is our responsibility we take big responsibility but we have salary only 20k this is not good

Likes

don't like 😒

Dislikes

...umar and I am working as a packer in zepto company for two years and two months. There has been no increase in salary and for the last ten months the salary is getting reduced.