SQL Interview Questions India 2026: Top 40

Aap SQL seekh rahe ho, 20-30 questions solve bhi kar liye, but interview call aate hi dimaag blank ho jaata hai. “INNER JOIN aur LEFT JOIN samjha do”, “second highest salary nikaalo”, “index kab slow kar deta hai”, ye sab sunte hi confidence hil jaata hai.

India mein 2026 tak SQL sirf data analyst ke liye nahi, software developer, backend engineer, QA, business analyst, product analyst, MIS executive, data engineer, sab roles mein poocha ja raha hai. TCS, Infosys, Wipro jaise service companies ho ya Razorpay, Swiggy, Zomato, Paytm, PhonePe jaise product/startup companies, SQL basics strong nahi hai toh shortlist ke baad bhi interview crack karna tough ho sakta hai.

SQL ka best part ye hai ki yeh ratta nahi, practice ka game hai. Agar tumhe common patterns samajh aa gaye, joins, group by, subqueries, window functions, indexes, constraints, toh ₹3.5 LPA fresher role se ₹12 LPA analyst role tak ka interview kaafi manageable ho jaata hai.

SQL Interview Questions India 2026: Top 40#

Is blog mein hum top 40 SQL interview questions cover karenge jo India mein fresher aur 1-5 years experience candidates se frequently pooche jaate hain. Answers Hinglish mein hain, taaki tum interview ke liye natural language mein explain kar sako.

Ye questions useful hain for:

1. Data Analyst roles, ₹4 LPA to ₹12 LPA
2. SQL Developer roles, ₹5 LPA to ₹14 LPA
3. Backend Developer roles, ₹6 LPA to ₹18 LPA
4. Data Engineer entry roles, ₹8 LPA to ₹22 LPA
5. Business Analyst roles, ₹5 LPA to ₹15 LPA
6. QA Automation or Database Testing roles, ₹4 LPA to ₹10 LPA

Chalo bhai, seedha questions pe aate hain.

1. SQL kya hota hai?#

SQL ka full form Structured Query Language hai. Iska use relational databases ke saath communicate karne ke liye hota hai.

Simple words mein, SQL se hum database mein data insert, read, update, delete aur manage karte hain.

Example:

SELECT name, salary
FROM employees
WHERE department = 'Sales';

Interview mein bolo: “SQL is used to query and manage structured data stored in relational databases like MySQL, PostgreSQL, SQL Server, Oracle.”

2. DBMS aur RDBMS mein difference kya hai?#

DBMS data store karta hai, but relations enforce nahi karta. RDBMS tables ke form mein data store karta hai aur tables ke beech relations maintain karta hai.

Example:

1. DBMS: File-based systems
2. RDBMS: MySQL, Oracle, PostgreSQL, SQL Server

RDBMS mein primary key, foreign key, normalization jaise concepts hote hain.

3. Primary Key kya hoti hai?#

Primary key table ke har row ko uniquely identify karti hai. Isme duplicate values nahi hoti aur NULL bhi allowed nahi hota.

Example:

CREATE TABLE employees (
  emp_id INT PRIMARY KEY,
  name VARCHAR(50)
);

Agar TCS ya Infosys fresher interview hai, yeh question pakka expect karo.

4. Foreign Key kya hoti hai?#

Foreign key ek table ka column hota hai jo doosre table ki primary key ko reference karta hai. Isse tables ke beech relationship banta hai.

Example:

CREATE TABLE orders (
  order_id INT PRIMARY KEY,
  customer_id INT,
  FOREIGN KEY (customer_id) REFERENCES customers(customer_id)
);

Interview line: “Foreign key maintains referential integrity between two tables.”

5. UNIQUE constraint kya karta hai?#

UNIQUE ensure karta hai ki column mein duplicate values na aaye. Primary key ki tarah unique hota hai, but table mein multiple UNIQUE constraints ho sakte hain.

Example:

email VARCHAR(100) UNIQUE

Note: SQL database ke hisaab se UNIQUE column NULL allow kar sakta hai.

6. NOT NULL constraint kya hai?#

NOT NULL ka matlab column blank nahi reh sakta. Jab row insert hogi, us column mein value deni hi padegi.

Example:

name VARCHAR(50) NOT NULL

Agar customer table mein phone number required hai, toh NOT NULL use kar sakte ho.

7. CHECK constraint kya hota hai?#

CHECK constraint ensure karta hai ki column ki value specific condition follow kare.

Example:

salary INT CHECK (salary > 0)

Isse negative salary insert nahi hogi. Swiggy ya Zomato jaise companies mein data quality ke context mein pooch sakte hain.

8. DEFAULT constraint kya karta hai?#

DEFAULT constraint column ko automatic value deta hai agar insert query mein value pass nahi ki gayi.

Example:

status VARCHAR(20) DEFAULT 'Active'

Agar user status nahi diya, toh status Active save ho jaayega.

9. DELETE, TRUNCATE aur DROP mein difference kya hai?#

Ye bahut common interview question hai.

1. DELETE rows delete karta hai based on condition
2. TRUNCATE table ka pura data fast remove karta hai
3. DROP table structure hi delete kar deta hai

Example:

DELETE FROM employees WHERE emp_id = 10;
TRUNCATE TABLE employees;
DROP TABLE employees;

Key point:

1. DELETE mein WHERE use hota hai
2. TRUNCATE mein WHERE nahi hota
3. DROP ke baad table exist nahi karta

10. WHERE aur HAVING mein difference kya hai?#

WHERE rows ko filter karta hai before grouping. HAVING grouped data ko filter karta hai after GROUP BY.

Example:

SELECT department, COUNT(*)
FROM employees
WHERE salary > 50000
GROUP BY department
HAVING COUNT(*) > 5;

Simple yaad rakho: WHERE raw rows pe, HAVING groups pe.

11. INNER JOIN kya hota hai?#

INNER JOIN sirf matching records return karta hai dono tables se.

Example:

SELECT e.name, d.department_name
FROM employees e
INNER JOIN departments d
ON e.department_id = d.department_id;

Agar employee ka department match nahi hua, woh result mein nahi aayega.

12. LEFT JOIN kya hota hai?#

LEFT JOIN left table ke saare records return karta hai, aur right table se matching records. Agar match nahi hai toh NULL aayega.

Example:

SELECT c.name, o.order_id
FROM customers c
LEFT JOIN orders o
ON c.customer_id = o.customer_id;

Paytm ya PhonePe analyst interview mein pooch sakte hain: “Find customers who never made a transaction.”

SELECT c.customer_id, c.name
FROM customers c
LEFT JOIN transactions t
ON c.customer_id = t.customer_id
WHERE t.transaction_id IS NULL;

13. RIGHT JOIN kya hota hai?#

RIGHT JOIN right table ke saare records return karta hai aur left table se matching data.

Example:

SELECT e.name, d.department_name
FROM employees e
RIGHT JOIN departments d
ON e.department_id = d.department_id;

Practically LEFT JOIN zyada use hota hai. RIGHT JOIN ko often query direction change karke LEFT JOIN banaya ja sakta hai.

14. FULL OUTER JOIN kya hota hai?#

FULL OUTER JOIN dono tables ke saare records return karta hai. Match ho toh combined data, nahi toh NULL.

Example:

SELECT e.name, d.department_name
FROM employees e
FULL OUTER JOIN departments d
ON e.department_id = d.department_id;

MySQL mein direct FULL OUTER JOIN supported nahi hota, wahan LEFT JOIN plus RIGHT JOIN with UNION use karte hain.

15. CROSS JOIN kya hota hai?#

CROSS JOIN Cartesian product return karta hai. Matlab table A ki har row table B ki har row ke saath combine hogi.

Agar A mein 5 rows aur B mein 4 rows hain, output 20 rows hoga.

Example:

SELECT p.product_name, c.color
FROM products p
CROSS JOIN colors c;

Use case: product variants generate karna.

16. SELF JOIN kya hota hai?#

SELF JOIN mein table khud se join hoti hai. Common example: employee and manager.

SELECT e.name AS employee, m.name AS manager
FROM employees e
LEFT JOIN employees m
ON e.manager_id = m.emp_id;

Infosys aur Wipro interviews mein ye classic question hai.

17. UNION aur UNION ALL mein difference kya hai?#

UNION duplicate rows remove karta hai. UNION ALL duplicates bhi include karta hai aur generally faster hota hai.

Example:

SELECT city FROM customers
UNION
SELECT city FROM suppliers;

SELECT city FROM customers
UNION ALL
SELECT city FROM suppliers;

Interview mein bolo: “Use UNION ALL when duplicates are acceptable and performance matters.”

18. GROUP BY kya karta hai?#

GROUP BY rows ko groups mein combine karta hai based on one or more columns. Usually aggregate functions ke saath use hota hai.

Example:

SELECT department, AVG(salary)
FROM employees
GROUP BY department;

Ye department-wise average salary nikaalega.

19. Aggregate functions kaunse hote hain?#

Common aggregate functions:

1. COUNT
2. SUM
3. AVG
4. MIN
5. MAX

Example:

SELECT COUNT(*) AS total_orders,
       SUM(amount) AS revenue,
       AVG(amount) AS avg_order_value
FROM orders;

Zomato, Swiggy, Razorpay analyst roles mein revenue, orders, active users type questions very common hain.

20. COUNT(*), COUNT(1), COUNT(column) mein difference?#

COUNT(*) total rows count karta hai. COUNT(1) bhi mostly same behave karta hai. COUNT(column) sirf non-NULL values count karta hai.

Example:

SELECT COUNT(*) FROM employees;
SELECT COUNT(email) FROM employees;

Agar email column mein NULL hai, COUNT(email) un rows ko count nahi karega.

21. Second highest salary kaise find karoge?#

Classic SQL question, har dusre interview mein.

Using subquery:

SELECT MAX(salary)
FROM employees
WHERE salary < (
  SELECT MAX(salary)
  FROM employees
);

Using DENSE_RANK:

SELECT salary
FROM (
  SELECT salary,
         DENSE_RANK() OVER (ORDER BY salary DESC) AS rnk
  FROM employees
) x
WHERE rnk = 2;

DENSE_RANK better hai agar duplicate salaries handle karni ho.

22. Nth highest salary kaise find karoge?#

Window function use kar sakte ho:

SELECT salary
FROM (
  SELECT salary,
         DENSE_RANK() OVER (ORDER BY salary DESC) AS rnk
  FROM employees
) x
WHERE rnk = 5;

Yahan 5th highest salary milegi.

MySQL LIMIT method:

SELECT DISTINCT salary
FROM employees
ORDER BY salary DESC
LIMIT 1 OFFSET 4;

Offset 4 means 5th row.

23. Duplicate records kaise find karoge?#

Suppose employees table mein email duplicate find karna hai:

SELECT email, COUNT(*)
FROM employees
GROUP BY email
HAVING COUNT(*) > 1;

Agar interviewer bole duplicate rows delete kaise karoge, toh ROW_NUMBER use karo.

WITH cte AS (
  SELECT *,
         ROW_NUMBER() OVER (PARTITION BY email ORDER BY emp_id) AS rn
  FROM employees
)
DELETE FROM cte
WHERE rn > 1;

Note: DELETE syntax database ke hisaab se thoda change ho sakta hai.

24. Window functions kya hote hain?#

Window functions rows ke set par calculation karte hain without collapsing rows like GROUP BY.

Common window functions:

1. ROW_NUMBER
2. RANK
3. DENSE_RANK
4. LAG
5. LEAD
6. SUM OVER
7. AVG OVER

Example:

SELECT emp_id, name, salary,
       AVG(salary) OVER (PARTITION BY department_id) AS dept_avg_salary
FROM employees;

Isme har employee row rahegi, saath mein department average salary bhi dikhegi.

25. ROW_NUMBER, RANK, DENSE_RANK mein difference?#

Teenon ranking functions hain, but duplicates handle alag tarah karte hain.

Suppose salaries: 100, 90, 90, 80

ROW_NUMBER:

1. 100 = 1
2. 90 = 2
3. 90 = 3
4. 80 = 4

RANK:

1. 100 = 1
2. 90 = 2
3. 90 = 2
4. 80 = 4

DENSE_RANK:

1. 100 = 1
2. 90 = 2
3. 90 = 2
4. 80 = 3

Interview mein example se explain karna, answer strong lagega.

26. Subquery kya hoti hai?#

Subquery query ke andar query hoti hai. Ye SELECT, FROM, WHERE clauses mein use ho sakti hai.

Example:

SELECT name, salary
FROM employees
WHERE salary > (
  SELECT AVG(salary)
  FROM employees
);

Yeh average salary se zyada salary wale employees return karega.

27. Correlated subquery kya hoti hai?#

Correlated subquery outer query ki row pe depend karti hai. Ye har row ke liye execute ho sakti hai.

Example:

SELECT e.name, e.salary, e.department_id
FROM employees e
WHERE e.salary > (
  SELECT AVG(e2.salary)
  FROM employees e2
  WHERE e2.department_id = e.department_id
);

Ye employees find karega jinki salary apne department average se zyada hai.

28. CTE kya hota hai?#

CTE ka full form Common Table Expression hai. Ye temporary named result set hota hai jo query ko readable banata hai.

Example:

WITH high_salary AS (
  SELECT *
  FROM employees
  WHERE salary > 80000
)
SELECT department_id, COUNT(*)
FROM high_salary
GROUP BY department_id;

Complex queries mein CTE readability improve karta hai.

29. View kya hota hai?#

View ek virtual table hota hai jo SQL query ke result pe based hota hai. Data physically store nahi hota, mostly query definition store hoti hai.

Example:

CREATE VIEW active_customers AS
SELECT customer_id, name, city
FROM customers
WHERE status = 'Active';

View ka use security aur simplified reporting ke liye hota hai.

30. Index kya hota hai?#

Index database table pe search speed improve karta hai. Jaise book ka index pages find karne mein help karta hai, waise database index rows fast locate karta hai.

Example:

CREATE INDEX idx_customer_email
ON customers(email);

But bhai, index free mein nahi aata. Extra storage leta hai aur INSERT, UPDATE, DELETE slow kar sakta hai because index bhi update hota hai.

31. Clustered aur Non-clustered index difference?#

Clustered index table ke actual data order ko define karta hai. Ek table mein usually ek clustered index hota hai.

Non-clustered index separate structure hota hai jo data rows ke pointers store karta hai. Ek table mein multiple non-clustered indexes ho sakte hain.

SQL Server interviews mein yeh question common hai.

32. Normalization kya hota hai?#

Normalization database design technique hai jisme data redundancy reduce karte hain aur data consistency improve karte hain.

Common normal forms:

1. 1NF: Atomic values, repeating groups nahi
2. 2NF: Partial dependency remove
3. 3NF: Transitive dependency remove

Example: Customer name har order row mein repeat karne ke bajay customer table separate banao.

33. Denormalization kya hota hai?#

Denormalization mein performance improve karne ke liye intentionally redundant data store karte hain.

Example: Reporting table mein customer_name, city, total_orders store karna, taaki joins kam lagen.

Data analyst ya data engineer interview mein bolo: “Denormalization is useful in read-heavy reporting systems.”

34. ACID properties kya hoti hain?#

ACID database transactions ke reliability rules hain.

1. Atomicity: Transaction ya toh complete hoga ya rollback
2. Consistency: Database valid state mein rahega
3. Isolation: Multiple transactions ek dusre ko wrongly affect nahi karenge
4. Durability: Commit ke baad data permanently save rahega

Banking, payments, Razorpay, PhonePe, Paytm roles mein ACID important hai.

35. Transaction kya hota hai?#

Transaction SQL operations ka group hota hai jo single unit ke tarah execute hota hai.

Example:

BEGIN;

UPDATE accounts
SET balance = balance - 500
WHERE account_id = 1;

UPDATE accounts
SET balance = balance + 500
WHERE account_id = 2;

COMMIT;

Agar issue aata hai:

ROLLBACK;

Money transfer example se explain karoge toh interviewer ko clear lagega.

36. Stored Procedure kya hota hai?#

Stored procedure pre-written SQL code hota hai jo database mein save rehta hai aur baar-baar execute ho sakta hai.

Example:

CREATE PROCEDURE GetEmployeesByDept(IN deptId INT)
BEGIN
  SELECT *
  FROM employees
  WHERE department_id = deptId;
END;

Benefits:

1. Reusability
2. Better control
3. Less repeated query code
4. Business logic database level pe handle kar sakte ho

37. Trigger kya hota hai?#

Trigger automatic execute hota hai jab table pe INSERT, UPDATE ya DELETE event hota hai.

Example use cases:

1. Audit logs maintain karna
2. Updated_at timestamp set karna
3. Inventory update karna
4. Data validation

Example:

CREATE TRIGGER after_order_insert
AFTER INSERT ON orders
FOR EACH ROW
BEGIN
  UPDATE products
  SET stock = stock - NEW.quantity
  WHERE product_id = NEW.product_id;
END;

Trigger powerful hai, but overuse karoge toh debugging tough ho sakti hai.

38. SQL query performance kaise improve karoge?#

Yeh experienced candidates ke liye important question hai. Agar tum 2-4 years experience ho aur ₹10 LPA plus roles target kar rahe ho, prepare this well.

Ways:

1. Proper indexes use karo
2. SELECT * avoid karo
3. WHERE clause mein indexed columns use karo
4. Joins ke columns indexed rakho
5. Unnecessary subqueries avoid karo
6. Query execution plan check karo
7. Large tables pe pagination use karo
8. Functions avoid karo indexed columns pe WHERE clause mein
9. Data types sahi choose karo
10. Archiving or partitioning use karo where needed

Bad query:

SELECT *
FROM orders
WHERE YEAR(order_date) = 2025;

Better query:

SELECT order_id, amount, order_date
FROM orders
WHERE order_date ≥ '2025-01-01'
  AND order_date < '2026-01-01';

Function lagane se index use nahi ho paata in many cases.

39. EXISTS aur IN mein difference kya hai?#

IN values ke list ke saath compare karta hai. EXISTS check karta hai ki subquery result exist karta hai ya nahi.

Example IN:

SELECT name
FROM customers
WHERE customer_id IN (
  SELECT customer_id
  FROM orders
);

Example EXISTS:

SELECT c.name
FROM customers c
WHERE EXISTS (
  SELECT 1
  FROM orders o
  WHERE o.customer_id = c.customer_id
);

Large correlated datasets mein EXISTS often better perform kar sakta hai, but final performance database optimizer pe depend karta hai.

40. Real business SQL question: Monthly revenue kaise nikaaloge?#

Product companies mein yeh type ka question kaafi common hai.

Suppose orders table:

1. order_id
2. customer_id
3. order_date
4. amount
5. status

Monthly revenue:

SELECT DATE_TRUNC('month', order_date) AS month,
       SUM(amount) AS revenue
FROM orders
WHERE status = 'Completed'
GROUP BY DATE_TRUNC('month', order_date)
ORDER BY month;

MySQL version:

SELECT DATE_FORMAT(order_date, '%Y-%m') AS month,
       SUM(amount) AS revenue
FROM orders
WHERE status = 'Completed'
GROUP BY DATE_FORMAT(order_date, '%Y-%m')
ORDER BY month;

Follow-up question aa sakta hai: “Monthly active users kaise nikaaloge?”

SELECT DATE_FORMAT(order_date, '%Y-%m') AS month,
       COUNT(DISTINCT customer_id) AS active_users
FROM orders
WHERE status = 'Completed'
GROUP BY DATE_FORMAT(order_date, '%Y-%m')
ORDER BY month;

Bonus: SQL Interview Preparation Plan For Indian Candidates#

Ab questions dekh liye, but preparation kaise karni hai? Random YouTube playlist dekh ke confidence nahi aata. Ek simple plan follow karo.

Day 1-2: SQL basics revise karo

Focus on:

1. SELECT
2. WHERE
3. ORDER BY
4. GROUP BY
5. HAVING
6. Aggregate functions
7. NULL handling

Practice at least 25 basic queries.

Day 3-4: Joins master karo

Tables banao:

1. employees
2. departments
3. customers
4. orders
5. products
6. payments

Practice:

1. INNER JOIN
2. LEFT JOIN
3. SELF JOIN
4. Anti join, like customers with no orders
5. Multiple table joins

Day 5-6: Subqueries and CTE

Practice questions:

1. Salary above average
2. Department-wise highest salary
3. Customers with more than 3 orders
4. Products never sold
5. Employees earning more than manager

Day 7-8: Window functions

Must practice:

1. ROW_NUMBER
2. RANK
3. DENSE_RANK
4. Running total
5. Moving average
6. LAG and LEAD

Example running revenue:

SELECT order_date,
       amount,
       SUM(amount) OVER (ORDER BY order_date) AS running_revenue
FROM orders;

Day 9-10: Real business problems

Try these:

1. Daily orders count
2. Monthly revenue
3. Repeat customers
4. Churned users
5. Top 5 products by sales
6. City-wise revenue
7. Average order value
8. First purchase date
9. Last transaction date
10. Conversion rate basics

Agar tum Razorpay, Swiggy, Zomato, Paytm, PhonePe type companies target kar rahe ho, business metrics wali SQL practice zaroor karo.

Common Mistakes Jo Candidates SQL Interview Mein Karte Hain#

SQL aata hota hai, phir bhi log silly mistakes kar dete hain. Thoda dhyaan rakho.

1. SELECT star har jagah use karna

Interview mein SELECT * avoid karo unless genuinely needed. Specific columns select karo.

Good:

SELECT customer_id, order_date, amount
FROM orders;

2. JOIN condition bhool jaana

Agar JOIN condition bhool gaye toh Cartesian product ban jaata hai. Output weird ho jaata hai aur interviewer turant pakad lega.

Bad:

SELECT *
FROM employees, departments;

3. NULL ko normal value treat karna

NULL comparison ke liye = nahi, IS NULL use hota hai.

Bad:

WHERE email = NULL

Good:

WHERE email IS NULL

4. HAVING aur WHERE confuse karna

Aggregate condition ke liye HAVING use karo.

Good:

SELECT customer_id, COUNT(*)
FROM orders
GROUP BY customer_id
HAVING COUNT(*) > 5;

5. Duplicate salary case ignore karna

Second highest salary mein MAX salary less than max ya DENSE_RANK use karo. Sirf LIMIT se kabhi duplicates mein issue aa sakta hai unless DISTINCT use kiya hai.

Fresher vs Experienced: SQL Mein Kya Difference Expect Hota Hai?#

Freshers, ₹3 LPA to ₹6 LPA roles

Freshers se mostly ye poochte hain:

1. Basic SELECT queries
2. Joins
3. Constraints
4. Group by
5. Simple subqueries
6. Second highest salary
7. Normalization basics

TCS Ninja, Infosys System Engineer, Wipro Elite type roles mein SQL basic to medium level enough hota hai.

1-3 Years Experience, ₹6 LPA to ₹12 LPA roles

Expect:

1. Complex joins
2. Window functions
3. CTE
4. Query optimization basics
5. Indexes
6. Transaction concepts
7. Real business queries

Data analyst roles mein SQL round ka weight kaafi high hota hai.

3-5 Years Experience, ₹12 LPA to ₹22 LPA roles

Expect:

1. Performance tuning
2. Execution plan basics
3. Data modeling
4. Advanced window functions
5. Partitioning basics
6. ETL style queries
7. Production issue debugging

Yahan interviewer sirf syntax nahi, thinking check karta hai.

SQL Interview Mein Answer Kaise Bolna Hai?#

Sirf query likhna enough nahi hota. Explain bhi karna padta hai.

Follow this format:

1. Pehle requirement repeat karo
2. Tables and columns assume karo
3. Query likho
4. Explain karo query ka logic
5. Edge cases mention karo, like duplicates, NULLs, no matching records

Example:

Question: “Find customers who never ordered.”

Answer structure:

“Main customers table ko orders table ke saath LEFT JOIN karunga, because mujhe saare customers chahiye. Jinke orders table mein match nahi hoga, unka order_id NULL hoga. Then WHERE order_id IS NULL laga dunga.”

SELECT c.customer_id, c.name
FROM customers c
LEFT JOIN orders o
ON c.customer_id = o.customer_id
WHERE o.order_id IS NULL;

Ye explain karne se lagta hai tum query samajh ke likh rahe ho, copy paste nahi.

Final Revision Checklist#

Interview se ek raat pehle yeh checklist revise kar lo:

1. Joins ka difference
2. WHERE vs HAVING
3. DELETE vs TRUNCATE vs DROP
4. Primary key vs Foreign key
5. UNION vs UNION ALL
6. ROW_NUMBER vs RANK vs DENSE_RANK
7. Second highest salary
8. Duplicate records find and remove
9. GROUP BY with aggregate functions
10. CTE and subquery
11. Index basics
12. Transaction and ACID
13. NULL handling
14. Monthly revenue query
15. Customers with no orders

SQL interview scary nahi hai agar tum patterns practice kar lo. India mein 2026 ke job market mein SQL ek high-ROI skill hai, especially agar tum data analyst, backend, QA, business analyst ya data engineer roles target kar rahe ho.

Aur haan, SQL strong hone ke baad bhi agar resume ATS mein reject ho raha hai, toh interview call hi nahi aayega. Pehle apna resume check karo, keywords, formatting aur ATS score fix karo.

Free mein apna resume scan karo yahan: JobRise Free ATS Checker