Cracked TOP Product based company with 5X Salary | From a Software Test Engineer to a Data Engineer!

Summary

In this podcast, Mansa Nagraj interviews Sampriti Gupta, who transitioned from a software tester at Jio to a data engineer at Target. Sampriti shares her journey, discussing the challenges she faced, the preparation strategies she employed, and the importance of platforms like LinkedIn in her career advancement. She emphasizes the need for continuous learning, proper guidance, and leveraging LinkedIn for networking. Sampriti also highlights the significance of understanding interview questions, experimenting with career paths, and adapting to new technologies for achieving significant salary hikes and career growth.

Takeaways

• 😀 The speaker started with a package of 3.5 lakhs and experienced a significant salary increase after switching companies, highlighting the importance of continuous learning and skill development.
• 📚 Initially, the speaker referred to resources like Udemy and YouTube for learning but found them lacking in a structured approach, emphasizing the need for a clear learning path.
• 💼 The speaker's journey from a software tester to a data engineer involved self-preparation and internal interviews within the company, demonstrating the value of networking and internal opportunities.
• 🔍 The speaker found LinkedIn to be an effective tool for job applications and networking, receiving 90% of interview calls from LinkedIn, underscoring the platform's utility in professional development.
• 📈 The speaker's success in transitioning to a data engineer role was attributed to a combination of luck and preparation, highlighting the importance of being proactive in career development.
• 📘 The speaker recommended a structured learning path for big data technologies, citing the lack of clear resources in 2020 and the eventual discovery of a comprehensive course on LinkedIn.
• 📊 The speaker emphasized the importance of understanding the company's domain and projects before applying, as this knowledge can help in interviews by demonstrating how one can contribute to the team.
• 💡 Engaging on LinkedIn was a key strategy for the speaker, who connected with professionals in their domain and leveraged the platform to showcase their skills and interests.
• 📋 The speaker faced challenges in understanding interview questions and emphasized the need to comprehend questions fully before answering, suggesting a pause to think before responding.
• 🚀 The speaker's significant salary increase was attributed to learning new technologies at the right time and seizing opportunities when they arose, illustrating the impact of timing and adaptability in career growth.

Q & A

What was Sampriti's starting salary and how much did it increase after switching companies?

Sampriti started with a salary of 3.5 lakh INR, and after switching companies, her salary increased by approximately 450 to 500 percent.

What resources did Sampriti use for learning new technologies when she was preparing for her role as a data engineer?

Sampriti initially used Udemy and YouTube for learning but later found a more structured course on LinkedIn, which she found very helpful.

How did Sampriti prepare for transitioning from a software tester to a data engineer?

Sampriti started preparing by learning new technologies on her own. She took a structured course on LinkedIn and spent significant time preparing for interviews and building relevant skills.

What strategies did Sampriti use to get interview calls from top companies?

Sampriti actively engaged on LinkedIn, made good connections, asked for referrals, and applied to many companies. She received 90% of her interview calls through LinkedIn.

What types of interview rounds did Sampriti face for product-based companies?

Sampriti faced rounds that included data structures and algorithms (DSA), SQL questions, technical discussions on Spark and Scala, system design, and a hiring manager round.

Which technologies were most commonly tested in Sampriti's interviews for data engineering roles?

The most commonly tested technologies were Spark, SQL, Hive, Kafka, and both SQL and NoSQL databases.

What challenges did Sampriti face during her interviews?

One major challenge was understanding the interview questions precisely. She had to learn to take a pause, understand the question, and then provide a concise and relevant answer.

How did Sampriti handle the preparation and application process for new job opportunities?

Sampriti researched the companies she was applying to, understood their domains, and tailored her preparation to align with the company's needs and job requirements.

What advice does Sampriti have for individuals preparing for big data interviews?

Sampriti advises having a clear and proper pathway, experimenting initially to find the right career fit, and then sticking to and mastering the chosen path. She also emphasizes the importance of showcasing oneself well, particularly on LinkedIn.

How did Sampriti manage her time to focus on her career development?

Sampriti deactivated her Instagram account for six months and used that time to engage on LinkedIn, which helped her build valuable connections and prepare for new job opportunities.

Outlines

00:00

🚀 Career Transition from Software Tester to Data Engineer

The speaker, Gupta, shares her journey from being a software tester at Jio to becoming a data engineer at Target. She discusses her initial role as a test engineer and her decision to switch to the Big Data domain. Gupta emphasizes the importance of learning new technologies and the role of LinkedIn in her career progression. She also mentions her preparation for government exams and how she realized her preference for corporate life, leading her to explore different domains like Android and big data.

05:02

📚 Learning Pathways and Resources for Big Data

Gupta talks about her struggle to find a proper learning path for big data technologies. Initially, she relied on Udemy and YouTube, but found the resources lacking a comprehensive pathway. She eventually discovered a Big Data program on LinkedIn, which she found to be highly beneficial. Despite the initial hesitation due to the cost, she found the course to be a great investment, as it provided a clear roadmap and helped her secure interviews with top companies. Gupta also highlights the importance of engaging on LinkedIn to increase visibility and opportunities.

10:02

🔍 Strategies for Overcoming Interview Challenges

Gupta shares her strategies for getting interview calls and overcoming challenges as a tester transitioning to a data engineer role. She emphasizes the importance of networking on LinkedIn and leveraging connections for referrals. Gupta also discusses her approach to researching companies before interviews, understanding their domain, and preparing to demonstrate how she can contribute to their team. She mentions the differences in interview processes between service-based and product-based companies, highlighting the common requirement of Data Structure and Algorithm (DSA) rounds.

15:05

💼 Insights on Interview Experiences and Technology Focus

Gupta provides insights into her interview experiences, discussing the major technologies tested during interviews, such as Spark, SQL, Hive, and Kafka. She also mentions the importance of understanding the company's domain and conducting thorough background research. Gupta shares her strategy of engaging with professionals in her domain on LinkedIn, which helped her gain valuable advice and learn from their experiences. She advises job seekers to be prepared for technical discussions and to showcase their skills effectively.

20:06

💼 Significant Salary Hike and Advice for Aspiring Data Engineers

Gupta discusses her substantial salary increase, attributing it to continuous learning and seizing opportunities at the right time. She advises job seekers to have a clear pathway for learning and to be prepared to experiment with different roles. Gupta emphasizes the importance of showcasing oneself effectively, particularly on LinkedIn, and suggests focusing on engaging with professionals in one's domain. She also shares her personal strategy of deactivating social media to dedicate more time to professional networking and skill development.

Keywords

💡Software Tester

A software tester is a professional who evaluates the functionality and usability of software applications. In the video, the guest started her career as a software tester at Jio, which is a significant part of her professional journey. The role involves identifying bugs and ensuring the software meets the required quality standards.

💡Data Engineer

A data engineer is responsible for designing, building, and maintaining the infrastructure that supports the storage, processing, and retrieval of large volumes of data. In the script, the guest transitioned from a software tester to a data engineer at Target, highlighting a significant career shift that involved learning new skills and technologies.

💡Big Data

Big Data refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. The video discusses the guest's journey into the big data domain, emphasizing the importance of learning relevant technologies and skills to excel in this field.

💡LinkedIn

LinkedIn is a professional networking platform that is often used for job searches, networking, and professional development. In the script, the guest mentions that she used LinkedIn extensively for networking and job applications, which played a crucial role in her career transition and success.

💡Udemy

Udemy is an online learning platform that offers courses on various subjects, including technology and programming. The guest initially referred to Udemy and YouTube for learning resources when she was transitioning into the big data domain, indicating the importance of online education in skill development.

💡Automation Test Engineer

An automation test engineer is a professional who designs and implements automated tests to verify the functionality of software applications. The script mentions that the guest worked as an automation test engineer for six months, which was a stepping stone in her journey towards becoming a data engineer.

💡Spark

Apache Spark is an open-source distributed general-purpose cluster-computing framework. It is widely used for big data processing and analytics. The video discusses Spark as a major technology that the guest learned and was tested on during her interviews for data engineer roles.

💡SQL

SQL (Structured Query Language) is a standard language for managing and manipulating relational databases. In the script, SQL is mentioned as a fundamental skill required for a big data engineer, and it was a common topic in the technical interviews the guest faced.

💡Hive

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. The script mentions Hive as one of the important technologies that the guest learned and was expected to know for her role as a data engineer.

💡Salary Hike

A salary hike refers to an increase in an employee's salary, often as a result of a promotion, a successful performance review, or a change in job responsibilities. The guest discusses her significant salary increase (450 to 500 percent) after switching to her new role, emphasizing the impact of skill acquisition and career progression on financial rewards.

💡DSA (Data Structures and Algorithms)

DSA refers to the study of data structures and algorithms, which are fundamental concepts in computer science. In the script, DSA is mentioned as a common round in technical interviews for big data roles, indicating its importance in assessing a candidate's problem-solving abilities.

Highlights

The speaker started with a package of 3.5 lakhs and experienced a significant salary hike of 450 to 500 percent after switching jobs.

Initially referred to Udemy and YouTube for learning resources but found them lacking a clear learning path for big data technologies.

90 percent of the interview calls were received from LinkedIn, emphasizing its importance in job hunting.

The speaker deleted Instagram for six months to focus time on LinkedIn, highlighting the strategy of prioritizing professional networking.

Engaged in various roles, starting as a software tester at Jio, then moving to a big data domain, and eventually becoming a data engineer at Target.

The journey from a software tester to a data engineer involved internal interviews and support from management within the company.

The speaker faced challenges in identifying the exact technologies needed to learn for a big data engineer role.

A significant turning point was the decision to invest in a Big Data course on LinkedIn, which was initially expensive but ultimately valuable.

The speaker emphasized the importance of a clear and concise learning path in big data technologies.

Engagement on LinkedIn was crucial, leading to interview calls from top companies including Google, Amazon, and Uber.

The speaker applied to numerous companies but received the majority of interview calls through LinkedIn, showcasing the platform's effectiveness.

Background research on companies before interviews was highlighted as a key strategy for understanding company domains and project work.

The interview process varied between service-based and product-based companies, with differences in initial technical rounds.

Major technologies tested in interviews included Spark, SQL, Hive, Kafka, and knowledge of cloud services.

The speaker faced challenges in understanding precise interview questions and emphasized the importance of clear comprehension.

The speaker advised on the importance of showcasing oneself effectively on platforms like LinkedIn.

Experimentation with different roles and technologies was encouraged, but once a path is chosen, it's crucial to stick to it and learn thoroughly.

Timing is crucial in learning new technologies, and being early in the adoption can lead to significant career advancements.

Transcripts

like I started with packages 3.5 lakh

but then when I switched here like if I

calculate the difference it's

approximately like 450 to 500 percent of

high I was very confused like what are

the exact technologies that I need to

learn at the beginning I refer to udemy

and YouTube but they want any many

resources ten percent of the companies I

applied to but 90 of the calls I got

from LinkedIn itself I deleted Instagram

for like six months and then I used to

spend that time on LinkedIn because like

you know ultimately you do not have that

much time so you have to come to myself

but hey folks welcome to trendy Tech

this is Mansa nagraj I hope you're all

doing great I'm back again with an

amazing podcast especially for those

buddies who are from testing domains

well if you are a software tester and

easily wanting to change your career

path then this podcast is just for you

well our test for today is who started

off her journey as a software tester in

jio and now successfully working in one

of the top product based companies

Target as a data engineer Shani listened

to her story let's Jump Right In hi

sampriti firstly a very warm welcome to

you and thank you for sparing some time

out and joining the podcast today to

share your experience which will be

helping a lot of our audience out here

um really looking forward to know your

journey it would be excellent if you

could uh give a brief introduction about

yourself and then we can get started

from there thanks Mansa for inviting me

and I'm really glad to share my

experiences over here in this platform

so I'll tell a little bit about myself

so my name is Gupta I graduated in 2019

and I joined uh jio platforms limited as

a test engineer and then I like I worked

for as a test engineer for like one and

a half years and then I switched to the

Big Data domain and I worked at Geo for

like for three years and then uh I

switched another company which is a

Target and right now I'm working as a

data engineer at Target that's um

excellent from a software tester to a

data engineer that's quite a journey I

suppose right awesome that's really nice

and um uh well I'm really curious to

know the reason for changing from a

testing profile to a big data developer

role if you could like State your reason

for it yeah like uh when I joined as a

tester I was actually uh at that time I

have exams also like government exams so

certain like uh and all all these exams

so I thought like uh if I join jio as

tester there won't be much workload and

I'll be able to prepare but then like

things took a turn and then I somehow I

realized that no I don't want to get

into that field so I started preparing

for the another domain which is like I I

thought that it will be suited to my

skill set so then I uh and after just

after that like in around May 2020 I got

into automation test engineer then I

worked as a automation test engineer for

like six months and then

um I started interviewing for the

different roles internally in my company

only and then luckily uh like I talked

to my manager and reached out to the VP

of that team which I wanted to get into

and then luckily they uh helped me to uh

find the role which was a data years old

and I was really looking forward to it

like I was also preparing for that role

so I interviewed and got selected over

there and this is how I switched to my

domain like you can say I also got lucky

but I was also preparing at the same

time to get into that role so yeah this

is how I got there

yeah so um how did you start preparing

yourself to get to the data engineering

field like as in did you learn through

the online resources or did you take up

any courses and uh how helpful were they

uh you know like in sharpening your

skills that is with the big data

Technologies

okay so firstly like when I got started

uh uh it was a team where the they just

told that you have to learn these

Technologies there was no training and

in any such thing so we were learning by

ourselves only and then I took some time

in like four or three four months I

started preparing myself from various

resources but uh you know like I was

getting one problem that uh I was

lacking a proper the path I was since

Victoria was very new to me and at that

time like around 2020 there were weren't

many courses which were which had a

proper Pathway to uh be a big data

engineer so I was very confused like

what are the exact technologies that I

need to learn and then um I was also

confused about like what kind of

resources how much is essential how what

I can eliminate and uh so these

questions are always there in mind so I

like I start at the beginning either

four to udemy and and YouTube but there

weren't any many resources like

um there was like partial trainings

small uh set of questions and all these

things so uh I was actually looking for

the proper pathway and then um I came

across this so uh some metal Source

course Big Data program on LinkedIn and

then I reached out to him but then when

I actually uh like when she'll be

reached out to me regarding this program

and then I heard the fees and I was like

this is quite much so I was a bit

hesitated but then after a few months I

I tried looking for other resources like

this like a proper pathway but I didn't

get any and then I uh saw his video on

YouTube so I was quite impressed like I

I as soon as I watched the video I was

like yeah I think this is worth spending

I can spend this much of money so um I

reached out to him again in January 2022

and then I purchased the Big Data course

and then I took the course and like in

April only I started applying to where

these companies like

um not much but most of the cases I was

getting calls from LinkedIn itself so I

started applying or rejected a few times

but uh yes the journey was great the

course was amazing like I I could not

get any uh such concise and clear

Concepts in any other course or any

other program oh yeah this was nice yeah

so that was a really a different um

experience that you shared and uh well a

course like that would have really

boosted your confidence I suppose with a

complete road map in itself like

um I mean like yeah that's something

that would give you the confidence to

attend uh or work on projects as well

yes excellent um samridi and um yeah for

moving on to the next question what I

wanted to know is um see um I have seen

that recruiters always look for

experienced folks right and um did you

kind of like face any challenges in

getting the interview calls or since you

were from the testing domain right if

yes then what strategies did you follow

to overcome those challenges or from is

it like you had a completely different

experience uh if you did then it'll be

nice if you could share it with us yeah

sure like uh as I told like I had

already switched to a data engineer role

in my company but uh when I was applying

the relevant experience was too less for

that so uh what I did was I started

engaging on LinkedIn I I like uh it

wasn't a creative account back then but

uh yeah I tried to make good connections

which have good reach so uh I connected

those people I asked for referrals from

some of those and then uh and somehow

gradually I started getting calls from

the LinkedIn itself like uh very good

companies you it's in including Fang and

a lot of companies like Google Amazon

Uber also Uber Karim from Dubai and then

now Flipkart

um these like these companies I got

calls from reached out from LinkedIn

itself so yeah this was my journey and

uh I did deployed to a lot of companies

but uh like nine ten percent of the

companies I applied to but 90 of the

calls I got from LinkedIn itself so I

would say like it's a great tool if you

use it to the fullest it's an amazing

tool I agree on that yeah yeah true true

I agree uh especially for people who are

focusing on specific companies um then

LinkedIn is a very good platform where

you can leverage and uh you know like

get good opportunities as well I totally

agree on that

um well so uh you said you got to it in

a lot of interviews uh how many

companies were you interviewed for and

uh I would also like to know how similar

or how different were they in their

interview process

okay so I uh I interviewed for like 20

25 companies and around 95 of them were

product patients like my company jio was

already a very good company I was like

enjoying the work over there so uh like

I when I was looking for the switch I

thought like it it had already set some

standards so I was looking for the much

like some where I can get to learn more

and Hike also these things I was taking

into consideration so uh I most of the

time I applied for the product based

companies also and I was looking for

specific domains like I had made a list

of the companies that I really want to

apply for I checked what kind of domain

they work on what kind of projects are

they working on currently and like uh

even if I'm applying for any company

like I always used to do a background

research of what how uh what is this

Revenue going on right now and how much

uh what kind of domains they are working

on and

where they stand in the World list of

Forbes in Fortune list so all these

things I used to do a background

resource and then I used to apply so

that I'm already aware of what kind of

questions I can expect and how can I

contribute to their team becoming a team

member so that is I think most of the

times recruiters are looking for like

how can how can you be helpful to their

team so this uh I took this part into

consideration and when at you know like

after every interview there's a feedback

session so like they ask you the

interviewers ask you to ask certain

questions so that is I guess a game

changer when you're applying for

companies so if you make them realize

that what they're looking for is

actually you what do you possess so um

that is really helpful when when you're

applying it's yeah that's nice like the

approach and the and your thought

process especially with that and your

work in like trying to understand the

company doing the research on before

giving the interviews that's really

excellent that's a good takeaway for

this session and also were there any

differences in the interview

um levels that they had like supposed

service based companies or product based

companies were there any major

differences or like all of them had the

similar kind of you know like um

interview rounds

so yeah that's

yeah that's the one major difference is

TSA like uh in 90 of the companies you

will have a DSA round and you'll have to

clear that so that is a major difference

and like you'll get this difference in

the first round itself like in service

ways when you're applying the first

round is generally uh the SQL and this

McQ questions whereas where in product

based they generally have BSA and if

you're applying for data rules then

you'll have SQL questions as well so

these are generally the first rounds and

then after that most of the rounds are

similar like technical discussions will

be there it'll be asked to write certain

code on spark and Scala and whatever

languages like you have worked on python

or anything and then there'll be two

three technical interviews

um one will definitely be the SQL round

which is uh where you'll be asked

complex SQL questions and the DSA round

and then next will be the hiring manager

down so uh and in some cases there was

also a system Design Round like uh this

is something I faced in Flipkart the

first round was the

um this round a data Design Round so

they asked like they gave me some

queries and they asked me to design a

system around those queries like find

out what kind of tables you'll be using

find out what kind of attributes you'll

be using in that and then build a whole

architecture so that the query fits in

that architecture and you're able to

find the solution so this kind of rounds

will uh can be expected for senior roles

also well my next question would be

somewhere around the interview rounds

itself like what were the major

technologies that you feel were tested

for in the interviews like

um the Technologies whether it is Park

high or cloud services what do you think

had the major

um attention for

okay so majorly it is Spark

spark is something which is very common

across all the companies using big data

technology so this is one thing and then

SQL is something basic that you need to

know uh for a big data engineer and then

it depends on company to company like

some companies are using Kafka some are

using Hive some are using both then I if

if somebody is applying for it like I

I'd say one is SQL then other is spark

and the third is uh like Hive is also

important Hive in Kafka and the next

would be one nosql database and one SQL

data basic you can take any like Oracle

is my Sequel and on the side you can

take any um like HPS or the mongodb

Cassandra any one or one or two so this

way the companies like this this is what

they're looking for and also like if you

know the cloud Technologies and if

they're working on it that is always a

plus were there any challenges that you

face during the interviews like um with

answering the questions or or anything

as such like if you would like to share

and the biggest challenge that I faced

during interviews was unable to identify

what people are actually looking for

like some it sometimes what the uh what

it has is like they ask you a question

which is very precise and you're not

able to comprehend it and you give uh

give some other answers like you're not

able to exactly understand the question

and and uh answer it uh in a way that it

doesn't you're just beating around the

post sometimes so that is very important

like you need to First understand the

questions really well like one of those

questions was um

um I I remember in one of the interviews

I faced this question why you should not

use a UDF so I I could not comprehend it

at that point and I I will I answered it

some like

um it's like it is not good for it

sometimes you have to use UDF it is not

good for uh like it uh it does affect

the performance but it is very important

sometimes so I answered it like that but

then uh at the in the feedback session

like he told me that you have to answer

the question in a certain way like what

you have to understand what they are

asking so what they were asking is why

you should avoid a UDF so it was the

answer could have been like

um uh it since it affects the

performance it affects uh the Catalyst

optimization so this kind of uh answer I

had to give but I was like I uh went to

some different path and then I answered

it a different way so then I started

keeping these things in my mind like how

I have to answer the certain question

and first I have to understand what they

exactly looking for then like I can take

a pause of two three seconds think

properly and then answer so this is

something I worked upon in in health

also I totally agree with you and I can

totally relate to that as well maybe

because of the nervousness or during the

interviews you might not be able to

comprehend it as you mentioned but yeah

that's a learning and you would be able

to get a better way of handling things

like as you mentioned take your time a

little bit of pause yourself and

understand what they're asking and then

respond that's a really nice approach

that you got to learn from that

interview nice yeah

um yes now coming to the most favorite

uh question by the audience um so they

would like to know like uh I mean most

of them would be interested in the high

percentage that you would have got like

um and how did you manage to get uh you

know a really commendable hike on your

salary

okay so like uh like most of the people

from Jersey colleges I also come from

tr3 college so I got uh like I started

with uh packages 3.5 lakhs but you're

like uh in my previous company also I

got very good hikes but then when I

switched here like if I calculate the

difference it's approximately like 450

to 500 percent of hike and uh it's just

like uh learning things and uh looking

for a proper pathway looking for proper

guidance and just keep on learning uh

things at the right time timing is very

important I'd say like if there's a new

technology and there is a there's an

immediate need for it and you learn it

and then you'll get very good hikes that

is for sure so these are the things like

you have to take uh immediate steps you

have to take quick steps to learn and

Implement things and I'm also very time

people to my previous company and why

cutting companies like they gave me

proper opportunities when I was looking

for it I got it so this is like uh this

was an advantage that I got Celine yeah

right

um well lastly um it was really nice uh

you know like talking to you and um

knowing your experience but um lucky I

would like to know if you have any

suggestions uh you know like for advice

or tips to the audience who are

preparing for the Big Data interviews oh

yeah like I I would say like uh find

something like uh have a proper pathway

like it's okay to experiment I was also

experimenting like initially when I

joined uh my first company I was uh

experimenting with like which kind of

jobs I should go to I Was preparing for

some government exams then I thought no

I think I the corporate life is quite

better like it suits me well so I

started preparing for that I learned I

was in testing then I learned Android

then I learned big data so it is always

good to experiment when you're not clear

with things but then like when you

decide something just just stick to it

and learn it properly and then appear

for interviews so that would be a very

helpful I guess and the second thing is

if you are the like looking for

opportunities learn to Showcase your

self well so this is very important like

uh in my case I chose LinkedIn so uh I

used to like engage with the people I

used to

um like interact with connect with

people from my domain and uh you know it

gives you some perspective like uh when

you are actually talking to a person who

is the at the position you want to reach

you will definitely get some more the

other advice some good advices and you

can also learn from their mistakes like

what can what they did at their time so

that they they could not achieve it uh

sooner so these uh the things that are

really helpful I guess so at the same

time when you're preparing you can just

like uh in my case also like I deleted

Instagram for like six months and then I

used to spend that time on LinkedIn

because like you know ultimately you do

not have that much time so you have to

compromise a little bit on some or the

other part so I thought like let's like

properly deactivate it and then use that

one or a half an hour or one on on right

engaging on LinkedIn so it helped me a

lot like for me it worked so these are

the two things yeah it was it was really

great to know your journey your story

and um uh our audience have got a lot of

information from your in a lot of advice

as to how they can prepare themselves

and how to uh you know like strategize

and learn um the new technologies as and

when there are new technologies um and

that will help you in boosting your

career as well so um thanks a lot for

your time and thank you so much for uh

joining us today and um wishing you all

the very best and lots of successes

ahead in your career thank you so much

thank you thank you so much man so for

inviting me over here well if you

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