Data Engineer Jobs Hyderabad 2026: Salary Guide

Hyderabad me data engineer job search kar rahe ho aur LinkedIn pe same cheez dikh rahi hai: “3 to 5 years experience required”, “AWS, Spark, Python, SQL must”, “salary not disclosed.” Frustration real hai bhai, kyunki role hota data engineer ka, JD me kabhi DevOps, kabhi backend, kabhi data analyst sab daal dete hain.

2026 me Hyderabad ka data engineering market strong hai, especially HITEC City, Gachibowli, Madhapur, Financial District side. Par salary tabhi achchi milegi jab tumhe pata ho ki kaunsi skills actually pay karti hain, kaunsi companies hire karti hain, aur resume ATS me pass kaise hota hai.

Chalo simple language me samajhte hain: Data Engineer Jobs Hyderabad 2026 me salary kitni milegi, freshers ke liye scope kya hai, experienced log ka package kitna ja sakta hai, aur interview me kya prepare karna hai.

Hyderabad Data Engineer Market 2026: Scene Kaisa Hai?#

Hyderabad ab sirf IT services city nahi hai. Pehle log bolte the TCS, Infosys, Wipro, Tech Mahindra, Cognizant jaise service companies ka hub hai. Ab product companies, fintech, SaaS, pharma analytics, cloud consulting, GCCs bhi strong hiring kar rahe hain.

2026 me Hyderabad me data engineer demand ke 4 main reasons hain:

1. Companies cloud pe shift kar rahi hain AWS, Azure, GCP pe data warehouses aur pipelines ban rahe hain.

2. AI aur analytics ke liye clean data chahiye Data scientist model tabhi banayega jab data engineer sahi tables, ETL pipelines, logs, events ready karega.

3. Fintech aur ecommerce me real-time data important hai Razorpay, Paytm, PhonePe, Swiggy, Zomato type companies me transaction, user activity, fraud detection sab ke liye fast data pipelines chahiye.

4. Global Capability Centers, GCCs grow kar rahe hain Hyderabad me Microsoft, Amazon, Google, Salesforce, Wells Fargo, JP Morgan, Deloitte, Accenture, HSBC jaise companies ka strong presence hai.

Data engineer ka kaam “sirf SQL likhna” nahi raha. Ab tumse expect hota hai:

• Data pipelines banana
• Batch aur streaming data handle karna
• Data warehouse design karna
• Cloud storage manage karna
• ETL tools use karna
• Data quality checks lagana
• Production issues debug karna
• Business teams ko usable datasets dena

Simple words me, data engineer woh banda hai jo company ke messy data ko clean, reliable, fast aur useful banata hai.

Data Engineer Salary in Hyderabad 2026: Realistic Range#

Sabse important question: “Bhai salary kitni milegi?”

Hyderabad me 2026 ke liye realistic data engineer salary range experience ke hisaab se kuch aisa dikh sakta hai:

Ab ye fixed nahi hai. Salary depend karti hai:

• Company type
• Your current CTC
• Skills
• Interview performance
• Cloud exposure
• Product vs service company
• Notice period
• Location flexibility
• Whether you have real projects or sirf course certificates

TCS, Infosys, Wipro, HCLTech, Tech Mahindra type service companies me fresher ya junior level salary ₹4 LPA se ₹9 LPA ke beech start ho sakti hai.

Accenture, Deloitte, Capgemini, Cognizant, EPAM, Persistent, LTIMindtree me 2 to 5 years experience pe ₹10 LPA se ₹24 LPA tak mil sakta hai.

Product companies aur GCCs me package better hota hai. Amazon, Microsoft, Salesforce, ServiceNow, Uber, Qualcomm, Wells Fargo, JP Morgan, Oracle, Google type places me strong candidate ko ₹25 LPA se ₹60 LPA tak ja sakta hai, experience ke hisaab se.

Fintech aur fast-growing companies jaise Razorpay, PhonePe, Paytm, Navi, CRED type firms me data engineering roles ka pay bhi strong ho sakta hai, but interview tough hota hai.

Fresher Data Engineer Jobs in Hyderabad 2026#

Agar tum fresher ho, to honest baat: direct “Data Engineer” title milna thoda tough ho sakta hai. But impossible nahi hai.

Fresher ke liye entry roles ye ho sakte hain:

1. Data Engineer Trainee
2. ETL Developer
3. SQL Developer
4. Data Analyst with SQL and Python
5. Big Data Trainee
6. Cloud Data Engineer Intern
7. Business Intelligence Developer
8. Associate Data Engineer

Fresher salary Hyderabad me usually:

• Service companies: ₹3.5 LPA to ₹6 LPA
• Mid-size companies: ₹5 LPA to ₹8 LPA
• Product startups: ₹7 LPA to ₹12 LPA
• Top product companies: ₹12 LPA to ₹20 LPA, but rare and competitive

Fresher ke liye best strategy ye hai ki tum “Data Engineer” ke saath related roles bhi apply karo. Sirf one title pe mat atko.

Agar tum B.Tech CSE, IT, ECE, MCA, BSc CS, MSc Statistics, ya similar background se ho, to tum data engineer track pe aa sakte ho. Non-CS background wale bhi aa sakte hain, but SQL, Python, cloud aur projects strong hone chahiye.

Fresher Ko Kaunsi Skills Chahiye?

Fresher ke liye perfect tech stack ye rahega:

• SQL strong, joins, window functions, CTEs, indexing basics
• Python basics, pandas, file handling, APIs
• Database knowledge, MySQL, PostgreSQL
• Data warehouse basics, Snowflake ya BigQuery ya Redshift
• Cloud basics, AWS S3, Lambda, Glue, IAM basics
• ETL basics, Airflow ya dbt
• Git and GitHub
• Linux commands
• One project end-to-end

Agar tumhare resume me sirf “Python, SQL, Power BI” likha hai, to thoda weak lagega. Project me dikhna chahiye ki tumne raw data liya, clean kiya, transform kiya, database me dala, dashboard ya analytics table banaya.

Example project title:

“Swiggy Restaurant Data Pipeline using Python, PostgreSQL and Airflow”

Isme tum scrape ya public dataset use kar sakte ho, Python se clean karo, PostgreSQL me load karo, Airflow DAG bana do, phir SQL queries se insights nikaalo.

Recruiter ko instantly samajh aayega ki banda sirf theory nahi jaanta.

1 to 3 Years Experience: Salary Aur Role Expectations#

Agar tumhare paas 1 to 3 saal ka experience hai, Hyderabad me tumhara sweet spot start ho jata hai. Is stage pe companies tumse expect karengi ki tum independently small pipelines bana sako.

Expected salary:

• Current CTC ₹4 LPA hai, switch pe ₹7 LPA to ₹10 LPA realistic
• Current CTC ₹7 LPA hai, switch pe ₹11 LPA to ₹15 LPA possible
• Strong cloud + Spark hai, to ₹16 LPA to ₹20 LPA bhi possible

But ek catch hai. 1 to 3 years me bahut log resume me “Big Data, Spark, Kafka, AWS” likh dete hain, interview me depth nahi hoti. Interviewer turant pakad leta hai.

Tumhe ye clearly explain karna aana chahiye:

• Data source kya tha?
• Pipeline ka schedule kya tha?
• Data volume kitna tha?
• Failure kaise handle karte the?
• Duplicate records kaise remove hote the?
• Incremental load kaise hota tha?
• Partitioning use kiya ya nahi?
• Job slow hua to debug kaise kiya?

Agar tum ye bata sakte ho, tum 70 percent candidates se aage ho.

1 to 3 Years Ke Liye Best Skills

Priority order me skills:

1. SQL advanced
2. Python for data processing
3. Airflow
4. AWS S3, Glue, Redshift
5. Spark basics
6. Data modeling basics
7. Git
8. CI/CD ka basic idea
9. Kafka basics, optional but helpful
10. dbt, if analytics engineering roles target kar rahe ho

Hyderabad me many job descriptions AWS-heavy hain. Azure bhi strong hai, especially enterprise clients me. GCP comparatively kam hai but product companies me milta hai.

3 to 5 Years Experience: Real Money Yahin Se Start#

3 to 5 years wale candidates ka market 2026 me kaafi hot hai. Ye woh level hai jahan company ko tumse “training” nahi chahiye. Tumhe requirement samajh ke pipeline design karni hai, production me chalani hai, aur issues fix karne hain.

Hyderabad salary range:

• Average service company: ₹12 LPA to ₹20 LPA
• Good consulting company: ₹18 LPA to ₹28 LPA
• Product company / GCC: ₹25 LPA to ₹40 LPA
• Top-tier role with Spark, Kafka, cloud: ₹35 LPA+ possible

Is experience band me tumhara resume bahut important hai. Agar resume generic hai, ATS reject kar dega. Agar resume me metrics hain, recruiter call karega.

Weak bullet:

• Worked on ETL pipelines using Python and SQL.

Strong bullet:

• Built daily ETL pipelines using Python, Airflow and AWS S3 to process 80GB transaction data, reducing manual reporting time by 6 hours per week.

Dekha? Same kaam, but impact visible hai.

3 to 5 Years Candidate Se Interview Me Kya Puchte Hain?

Common interview topics:

1. SQL query optimization
2. Window functions
3. Data modeling, star schema, snowflake schema
4. Batch vs streaming pipeline
5. Spark transformations and actions
6. Partitioning and bucketing
7. Airflow DAG scheduling
8. Late arriving data
9. Slowly Changing Dimensions, SCD Type 1 and Type 2
10. Data quality checks
11. AWS Glue, Redshift, S3, EMR
12. Kafka consumer lag basics
13. Production incident handling

Scenario question bhi aata hai:

“Suppose daily pipeline 2 hours me run hoti thi, ab 6 hours lag rahe hain. Kaise debug karoge?”

Good answer me ye points hone chahiye:

• Data volume compare karunga
• Logs check karunga
• Failed retries dekhoonga
• Skew check karunga
• Query plan dekhoonga
• Partition pruning ho raha hai ya nahi
• Cluster resources enough hain ya nahi
• Source system slow hai ya target database bottleneck hai
• Recent code changes check karunga

Aise answer se lagta hai ki tumne production dekha hai.

5 to 8 Years: Senior Data Engineer Salary Hyderabad#

5 to 8 years ke candidates ke liye Hyderabad me salary gap bahut wide hota hai. Ek banda ₹18 LPA pe stuck hota hai, dusra same experience pe ₹45 LPA le raha hota hai.

Difference kya hai?

• Ownership
• System design
• Cloud cost optimization
• Team mentoring
• Business communication
• Architecture decisions
• Production reliability
• Scale experience

Salary range 2026:

• Service-based companies: ₹18 LPA to ₹32 LPA
• Consulting and GCCs: ₹30 LPA to ₹50 LPA
• Product companies: ₹40 LPA to ₹70 LPA
• Staff-level rare roles: ₹75 LPA+ also possible

Senior data engineer se expect hota hai ki tum sirf task execute nahi karoge, tum solution propose karoge.

Example:

Business bolta hai: “Hume near real-time fraud dashboard chahiye.”

Junior banda bolega: “Kafka use karte hain?”

Senior banda puchega:

• Data source kaunsa hai?
• Latency requirement kya hai, 5 seconds, 1 minute, 15 minutes?
• Data volume per second kitna hai?
• Exactly-once chahiye ya at-least-once chalega?
• Storage kahan hoga?
• Dashboard kis tool me hai?
• Alerting kaise hoga?
• Cost budget kya hai?
• Failure recovery ka plan kya hai?

Yahi maturity pay karti hai.

Senior Level Skills Jo Salary Badhaate Hain

Agar tum 5+ years pe ho, ye skills salary push kar sakti hain:

• Spark performance tuning
• Kafka streaming
• Databricks
• Snowflake
• AWS Redshift, Glue, EMR
• Azure Data Factory, Synapse
• GCP BigQuery, Dataflow
• dbt
• Terraform basics
• Data lakehouse concepts
• Delta Lake, Iceberg, Hudi
• Data governance basics
• Cost optimization
• Team leadership

Ab iska matlab ye nahi ki sab kuch master karo. But 2-3 areas me depth honi chahiye.

Hyderabad Companies Hiring Data Engineers in 2026#

Hyderabad me data engineer roles ke liye tum in company categories ko target kar sakte ho.

1. IT Services Companies

Examples:

• TCS
• Infosys
• Wipro
• HCLTech
• Tech Mahindra
• Cognizant
• LTIMindtree
• Mphasis
• Capgemini
• Accenture

Pros:

• Hiring volume high
• Freshers ke chances better
• Multiple client projects
• Skill switch ka chance

Cons:

• Salary sometimes lower
• Project quality vary karta hai
• Bench risk ho sakta hai
• Tech stack old bhi ho sakta hai

Best for:

• Freshers
• 1 to 3 years candidates
• Career switchers
• Stable job chahne wale

2. Product Companies and Startups

Examples:

• Amazon
• Microsoft
• Google
• Salesforce
• ServiceNow
• Uber
• Oracle
• Freshworks
• Darwinbox
• HighRadius
• Razorpay
• Paytm
• PhonePe
• Swiggy
• Zomato

Pros:

• Better salary
• Good engineering culture
• Scale problems
• Strong resume value

Cons:

• Interviews tough
• DSA + SQL + system design puch sakte hain
• Performance pressure high

Best for:

• Strong problem solvers
• 2+ years candidates
• People with real project depth

3. Banks, Fintech, Insurance, Pharma GCCs

Examples:

• Wells Fargo
• JP Morgan
• HSBC
• DBS
• Synchrony
• Novartis
• Dr. Reddy’s
• Deloitte
• EY
• KPMG

Pros:

• Good salary
• Stable work
• Large data systems
• Cloud migration projects

Cons:

• Processes heavy ho sakte hain
• Documentation zyada
• Some legacy systems

Best for:

• 3+ years candidates
• People good with SQL, ETL, governance
• Long-term stability chahne wale

Data Engineer Skills Roadmap for Hyderabad 2026#

Ab question: “Bhai exactly kya padhu?”

Simple roadmap follow karo.

Step 1: SQL Ko Solid Karo

SQL data engineering ka backbone hai. Fancy tools baad me, SQL pehle.

Master these:

• Joins
• Group by
• Having
• Subqueries
• CTEs
• Window functions
• Case when
• Date functions
• Index basics
• Query optimization basics
• Explain plan basics

Practice platforms:

• LeetCode SQL
• HackerRank SQL
• StrataScratch
• DataLemur

Daily 5 SQL questions karo for 30 days. Difference dikhega.

Step 2: Python for Data Engineering

Python me DSA se zyada ye important hai:

• Reading CSV, JSON, Parquet
• Working with APIs
• pandas basics
• Error handling
• Logging
• Writing reusable functions
• Connecting to databases
• Basic unit testing

Project me Python ka use dikhna chahiye, not just certificate.

Step 3: ETL and Orchestration

Learn:

• Airflow basics
• DAGs
• Operators
• Scheduling
• Retries
• Dependencies
• Backfill
• Logs

Airflow ka small project bana do. Example:

Daily weather API se data fetch karo, S3/local storage me save karo, PostgreSQL me load karo, SQL transformation run karo.

Step 4: Cloud Basics

Hyderabad market me AWS strong hai, to AWS se start kar sakte ho.

Learn:

• S3
• IAM basics
• Glue
• Lambda basics
• Redshift
• CloudWatch
• EC2 basics

Agar Azure target kar rahe ho:

• Azure Data Factory
• ADLS
• Synapse
• Databricks
• Key Vault basics

Ek cloud choose karo, usme hands-on karo.

Step 5: Spark and Big Data

Spark deep jaane se pehle basics samjho:

• RDD vs DataFrame
• Transformations vs actions
• Lazy evaluation
• Partitioning
• Joins
• Caching
• Spark SQL
• Reading and writing Parquet
• Basic performance tuning

Spark ka project:

“Ecommerce clickstream data processing using PySpark”

Isme tum user events clean karo, session summary banao, top products nikalo, output Parquet me save karo.

Step 6: Data Modeling

Data engineer ka kaam sirf load karna nahi, usable data model banana bhi hai.

Learn:

• Fact tables
• Dimension tables
• Star schema
• Snowflake schema
• Slowly Changing Dimensions
• Surrogate keys
• Grain of table
• Denormalization

Interview me ye topics 3+ years candidates ko frequently aate hain.

Resume Tips for Data Engineer Jobs Hyderabad#

Bhai sach bolu, bahut log skills jaante hain but resume weak hota hai. ATS system pehle resume scan karta hai. Recruiter tak resume tabhi jaayega jab keywords match honge.

Resume me ye sections rakho:

1. Summary
2. Skills
3. Work Experience
4. Projects
5. Education
6. Certifications, optional
7. Achievements, optional

Resume Summary Example

Weak:

“Data engineer with experience in data tools and cloud.”

Better:

“Data Engineer with 3.5 years of experience building ETL pipelines using Python, SQL, Airflow and AWS. Worked on batch data processing, data quality checks and Redshift-based reporting datasets handling 50GB+ daily data.”

Ye summary clear hai, keywords bhi hain, impact bhi hai.

Skills Section Ka Format

Aise likho:

• Programming: Python, SQL, PySpark
• Databases: PostgreSQL, MySQL, Redshift
• Cloud: AWS S3, Glue, Lambda, IAM, CloudWatch
• Orchestration: Airflow
• Big Data: Spark, Hadoop basics
• BI: Power BI, Tableau
• Tools: Git, Docker basics, Linux

Random 25 tools mat daal do. Jo interview me explain kar sakte ho wahi daalo.

Work Experience Bullets

Har bullet me try karo:

• Action
• Tool
• Scale
• Impact

Examples:

• Developed Airflow DAGs to automate daily ETL workflows, reducing manual data refresh effort by 80%.
• Optimized SQL queries on Redshift tables, improving dashboard load time from 12 minutes to 3 minutes.
• Built PySpark jobs to process 100GB+ daily clickstream data and store curated datasets in Parquet format.
• Implemented data quality checks for nulls, duplicates and schema mismatches, reducing reporting errors by 35%.
• Migrated legacy ETL workflows to AWS Glue, cutting pipeline maintenance time by 20%.

Aise bullets ATS aur hiring manager dono ko pasand aate hain.

Interview Preparation Plan: 30 Days#

Agar tum Hyderabad me data engineer switch target kar rahe ho, 30-day plan follow karo.

Week 1: SQL + Resume

Daily:

• 5 SQL problems
• 1 hour resume improvement
• Past projects ke metrics likho
• Job descriptions se keywords note karo

Focus topics:

• Joins
• Window functions
• CTEs
• Aggregations
• Date-based queries

Week 2: Python + ETL

Daily:

• Python file processing practice
• APIs se data fetch
• CSV to database pipeline
• Logging and exception handling
• Airflow basics

Mini project banao aur GitHub pe upload karo.

Week 3: Cloud + Spark

Daily:

• AWS S3 practice
• Redshift or PostgreSQL data loading
• PySpark DataFrame operations
• Parquet files
• Partitioning basics

Ek notebook ya script ready karo jo interview me explain kar sako.

Week 4: Mock Interviews + Applications

Daily:

• 10 targeted applications
• 1 mock interview
• 3 SQL revision questions
• 1 project explanation practice
• LinkedIn networking

Targeted applications ka matlab random Easy Apply nahi. JD dekho, resume slightly customize karo, phir apply karo.

Common Mistakes Job Seekers Kar Rahe Hain#

Hyderabad data engineer market good hai, but candidates ye galtiyan karte hain:

1. Resume me sirf tools list karna Impact aur project details nahi hoti.

2. SQL weak rakhna Data engineer without SQL is like biryani without masala, naam same hai par maza nahi.

3. Cloud certificate leke hands-on nahi karna AWS certificate good hai, but S3 pe file upload karna bhi nahi aata to issue hai.

4. Fake experience ya fake project Interviewer 5 minute me pakad lega.

5. Notice period 90 days and no negotiation Companies immediate to 30 days candidates ko prefer karti hain.

6. Same resume everywhere Data engineer, data analyst, Python developer sab pe same resume bhejna weak strategy hai.

7. GitHub empty Freshers ke liye GitHub proof hota hai. Empty profile se confidence kam hota hai.

8. Project explain nahi kar paana Resume me project hai, but “team ne kiya tha” bolte hi game over.

Salary Negotiation Tips for Data Engineers#

Offer mil gaya, ab negotiation kaise kare?

Sabse pehle market range pata karo. Agar tum 3 years experience ke saath ₹8 LPA pe ho aur Hyderabad me AWS + SQL + Airflow role mil raha hai, to ₹13 LPA to ₹16 LPA ask reasonable hai.

Negotiation script:

“Thank you for the offer. Based on my experience with Python, SQL, Airflow and AWS data pipelines, and the Hyderabad market range for similar roles, I was expecting something closer to ₹X LPA. Is there room to revise the offer?”

Professional raho, desperate mat lagna.

Negotiation Me Dhyan Rakho

• Current CTC hide mat karo if required, but expected justify karo
• Multiple offers salary boost karte hain
• Fixed vs variable check karo
• Joining bonus pucho
• Relocation support pucho if needed
• Notice period buyout option pucho
• ESOPs ko cash salary samajh ke confuse mat ho

CTC breakdown zaroor dekho:

• Fixed pay
• Variable pay
• Joining bonus
• Retention bonus
• Stock or ESOPs
• Insurance
• PF
• Gratuity

₹25 LPA CTC ka fixed kabhi ₹18 LPA bhi ho sakta hai. Offer letter dhyan se padho.

Best Job Portals and Search Keywords#

Hyderabad data engineer jobs ke liye ye platforms use karo:

• LinkedIn
• Naukri
• Instahyre
• Hirist
• Wellfound
• Cutshort
• Company career pages
• Referrals

Search keywords:

• Data Engineer Hyderabad
• AWS Data Engineer Hyderabad
• Azure Data Engineer Hyderabad
• Big Data Engineer Hyderabad
• PySpark Developer Hyderabad
• ETL Developer Hyderabad
• Airflow Data Engineer
• Snowflake Developer Hyderabad
• Databricks Engineer Hyderabad
• SQL Data Engineer

Naukri pe profile daily update karo. Recruiters active profiles ko zyada dekhte hain.

LinkedIn pe ye karo:

1. Headline optimize karo: “Data Engineer | Python | SQL | Airflow | AWS | PySpark”

2. About section me 5-6 lines: Experience, tools, projects, target role.

3. Recruiters ko short message: “Hi, I’m a Data Engineer with 3 years experience in Python, SQL, Airflow and AWS. I’m exploring Hyderabad-based opportunities. Please let me know if there are relevant openings.”

4. 20 relevant recruiters ko connect karo daily.

Certifications: Zaroori Ya Nahi?#

Certification helpful hai, but job guarantee nahi hai.

Useful certifications:

• AWS Certified Cloud Practitioner, beginner
• AWS Solutions Architect Associate
• AWS Data Engineer Associate
• Microsoft Azure Data Engineer Associate
• Databricks Data Engineer Associate
• Snowflake SnowPro Core

Freshers ke liye certification resume me weight add karta hai. Experienced candidates ke liye real project experience zyada important hai.

Agar budget limited hai, pehle free/low-cost hands-on projects karo. Certificate tab lo jab basics clear ho.

Hyderabad Location Tips: Office Areas and Hybrid Work#

Data engineer jobs Hyderabad me mostly in areas:

• HITEC City
• Madhapur
• Gachibowli
• Financial District
• Kondapur
• Nanakramguda
• Kokapet
• Uppal, some IT parks
• Secunderabad, limited roles

Hybrid work common hai, but 2026 me many companies 2-3 days office expect kar rahi hain.

Agar tum outside Hyderabad se move kar rahe ho, rent ka idea:

• PG/shared room: ₹8,000 to ₹18,000 per month
• 1BHK: ₹18,000 to ₹35,000 depending area
• 2BHK shared: ₹12,000 to ₹25,000 per person
• Food and travel: ₹8,000 to ₹15,000 monthly

Salary negotiate karte time relocation cost bhi mind me rakho.

Final Take: 2026 Me Data Engineer Career Worth It Hai?#

Short answer: haan, definitely worth it.

But condition hai: sirf certificate collect karne se job nahi milegi. SQL strong karo, Python se pipelines banao, cloud basics samjho, ek solid project GitHub pe daalo, resume ATS-friendly banao, aur interviews me apna kaam clearly explain karo.

Hyderabad 2026 me data engineers ke liye strong city rahega because companies ko data infra, analytics, AI readiness aur cloud migration ke liye skilled log chahiye.

Agar tum fresher ho, ₹4 LPA to ₹8 LPA se start realistic hai. Agar 3 to 5 years experience hai, ₹14 LPA to ₹30 LPA seriously possible hai. Agar senior ho aur Spark, cloud, streaming, architecture aata hai, ₹40 LPA+ target kar sakte ho.

Bas random apply mat karo. Smart apply karo.

Resume pehle ATS pass karega, tabhi recruiter call karega. Apna resume free me check karna hai to JobRise ka ATS checker use karo: Free ATS Resume Checker