๐ฆ๐ค๐ ๐ ๐๐๐-๐๐ป๐ผ๐ ๐๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ๐ ๐
Whether you're writing daily queries or preparing for interviews, understanding these subtle SQL differences can make a big impact on both performance and accuracy.
๐ง Hereโs a powerful visual that compares the most commonly misunderstood SQL concepts โ side by side.
๐ ๐๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ ๐ถ๐ป ๐๐ต๐ถ๐ ๐๐ป๐ฎ๐ฝ๐๐ต๐ผ๐:
๐น RANK() vs DENSE_RANK()
๐น HAVING vs WHERE
๐น UNION vs UNION ALL
๐น JOIN vs UNION
๐น CTE vs TEMP TABLE
๐น SUBQUERY vs CTE
๐น ISNULL vs COALESCE
๐น DELETE vs DROP
๐น INTERSECT vs INNER JOIN
๐น EXCEPT vs NOT IN
React โฅ๏ธ for detailed post with examples
Whether you're writing daily queries or preparing for interviews, understanding these subtle SQL differences can make a big impact on both performance and accuracy.
๐ง Hereโs a powerful visual that compares the most commonly misunderstood SQL concepts โ side by side.
๐ ๐๐ผ๐๐ฒ๐ฟ๐ฒ๐ฑ ๐ถ๐ป ๐๐ต๐ถ๐ ๐๐ป๐ฎ๐ฝ๐๐ต๐ผ๐:
๐น RANK() vs DENSE_RANK()
๐น HAVING vs WHERE
๐น UNION vs UNION ALL
๐น JOIN vs UNION
๐น CTE vs TEMP TABLE
๐น SUBQUERY vs CTE
๐น ISNULL vs COALESCE
๐น DELETE vs DROP
๐น INTERSECT vs INNER JOIN
๐น EXCEPT vs NOT IN
React โฅ๏ธ for detailed post with examples
Why Apple and Meta are interested in buying Perplexity AI
https://techcompreviews.in/why-apple-and-meta-in-buying-perplexity-ai/
https://techcompreviews.in/why-apple-and-meta-in-buying-perplexity-ai/
Techcompreviews
Why Apple and Meta are interested in buying Perplexity AI
Discover why Perplexity AI, a $14B-rated startup, is a hot target for Apple and Metaโand how its acquisition could redefine AIโpowered search and assistant experiences.
๐Honeywell is hiring for Software Engr I
Qualification: Bachelors Degree
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน6 - 13 LPA
Job Location: Madurai
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/honeywell-off-campus-hiring-software-engineer/
Qualification: Bachelors Degree
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน6 - 13 LPA
Job Location: Madurai
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/honeywell-off-campus-hiring-software-engineer/
๐Allianz is hiring for GEN AI Fullstack Engineer
Qualification: Bachelors / Masters Degree
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน6 LPA
Job Location: Pune
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/allianz-hiring-ai-fullstack-engineer/
Qualification: Bachelors / Masters Degree
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน6 LPA
Job Location: Pune
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/allianz-hiring-ai-fullstack-engineer/
๐Sprinklr is hiring for Software Development Engineer, QA
Qualification: B.E/B.Tech
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน17 LPA
Job Location: Gurgaon
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/sprinklr-hiring-sde-qa-freshers/
Qualification: B.E/B.Tech
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน17 LPA
Job Location: Gurgaon
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/sprinklr-hiring-sde-qa-freshers/
๐Thomson Reuters is hiring for Software Engineer
Qualification: Bachelors / Masters Degree
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน5 LPA
Job Location: Hyderabad
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/thomson-reuters-hiring-software-engineer/
Qualification: Bachelors / Masters Degree
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน5 LPA
Job Location: Hyderabad
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/thomson-reuters-hiring-software-engineer/
๐Morgan Stanley is hiring for UI Developer (React)
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน7-28 LPA
Job Location: Bengaluru
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/morgan-stanley-hiring-ui-developer-react/
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน7-28 LPA
Job Location: Bengaluru
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/morgan-stanley-hiring-ui-developer-react/
๐PwC is hiring for Cyber R&R - ER&CS - Data Analytics
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน7-10 LPA
Job Location: Bangalore,Mumbai, Kolkata, Hyderabad India
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/pwc-off-campus-hiring-data-analytics-2/
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน7-10 LPA
Job Location: Bangalore,Mumbai, Kolkata, Hyderabad India
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/pwc-off-campus-hiring-data-analytics-2/
๐Accenture is hiring for Technology Platform Engineer
Qualification: Any Graduation
Experience: 0 โ 2 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน4 LPA
Job Location: Gurugram
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/accenture-hiring-tech-platform-engineer/
Qualification: Any Graduation
Experience: 0 โ 2 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน4 LPA
Job Location: Gurugram
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/accenture-hiring-tech-platform-engineer/
Python Roadmap for 2025: Complete Guide
1. Python Fundamentals
1.1 Variables, constants, and comments.
1.2 Data types: int, float, str, bool, complex.
1.3 Input and output (input(), print(), formatted strings).
1.4 Python syntax: Indentation and code structure.
2. Operators
2.1 Arithmetic: +, -, *, /, %, //, **.
2.2 Comparison: ==, !=, <, >, <=, >=.
2.3 Logical: and, or, not.
2.4 Bitwise: &, |, ^, ~, <<, >>.
2.5 Identity: is, is not.
2.6 Membership: in, not in.
3. Control Flow
3.1 Conditional statements: if, elif, else.
3.2 Loops: for, while.
3.3 Loop control: break, continue, pass.
4. Data Structures
4.1 Lists: Indexing, slicing, methods (append(), pop(), sort(), etc.).
4.2 Tuples: Immutability, packing/unpacking.
4.3 Dictionaries: Key-value pairs, methods (get(), items(), etc.).
4.4 Sets: Unique elements, set operations (union, intersection).
4.5 Strings: Immutability, methods (split(), strip(), replace()).
5. Functions
5.1 Defining functions with def.
5.2 Arguments: Positional, keyword, default, *args, **kwargs.
5.3 Anonymous functions (lambda).
5.4 Recursion.
6. Modules and Packages
6.1 Importing: import, from ... import.
6.2 Standard libraries: math, os, sys, random, datetime, time.
6.3 Installing external libraries with pip.
7. File Handling
7.1 Open and close files (open(), close()).
7.2 Read and write (read(), write(), readlines()).
7.3 Using context managers (with open(...)).
8. Object-Oriented Programming (OOP)
8.1 Classes and objects.
8.2 Methods and attributes.
8.3 Constructor (init).
8.4 Inheritance, polymorphism, encapsulation.
8.5 Special methods (str, repr, etc.).
9. Error and Exception Handling
9.1 try, except, else, finally.
9.2 Raising exceptions (raise).
9.3 Custom exceptions.
10. Comprehensions
10.1 List comprehensions.
10.2 Dictionary comprehensions.
10.3 Set comprehensions.
11. Iterators and Generators
11.1 Creating iterators using iter() and next().
11.2 Generators with yield.
11.3 Generator expressions.
12. Decorators and Closures
12.1 Functions as first-class citizens.
12.2 Nested functions.
12.3 Closures.
12.4 Creating and applying decorators.
13. Advanced Topics
13.1 Context managers (with statement).
13.2 Multithreading and multiprocessing.
13.3 Asynchronous programming with async and await.
13.4 Python's Global Interpreter Lock (GIL).
14. Python Internals
14.1 Mutable vs immutable objects.
14.2 Memory management and garbage collection.
14.3 Python's name == "main" mechanism.
15. Libraries and Frameworks
15.1 Data Science: NumPy, Pandas, Matplotlib, Seaborn.
15.2 Web Development: Flask, Django, FastAPI.
15.3 Testing: unittest, pytest.
15.4 APIs: requests, http.client.
15.5 Automation: selenium, os.
15.6 Machine Learning: scikit-learn, TensorFlow, PyTorch.
16. Tools and Best Practices
16.1 Debugging: pdb, breakpoints.
16.2 Code style: PEP 8 guidelines.
16.3 Virtual environments: venv.
16.4 Version control: Git + GitHub.
๐ฌ Double Tap โค๏ธ for more! ๐ง ๐ป
1. Python Fundamentals
1.1 Variables, constants, and comments.
1.2 Data types: int, float, str, bool, complex.
1.3 Input and output (input(), print(), formatted strings).
1.4 Python syntax: Indentation and code structure.
2. Operators
2.1 Arithmetic: +, -, *, /, %, //, **.
2.2 Comparison: ==, !=, <, >, <=, >=.
2.3 Logical: and, or, not.
2.4 Bitwise: &, |, ^, ~, <<, >>.
2.5 Identity: is, is not.
2.6 Membership: in, not in.
3. Control Flow
3.1 Conditional statements: if, elif, else.
3.2 Loops: for, while.
3.3 Loop control: break, continue, pass.
4. Data Structures
4.1 Lists: Indexing, slicing, methods (append(), pop(), sort(), etc.).
4.2 Tuples: Immutability, packing/unpacking.
4.3 Dictionaries: Key-value pairs, methods (get(), items(), etc.).
4.4 Sets: Unique elements, set operations (union, intersection).
4.5 Strings: Immutability, methods (split(), strip(), replace()).
5. Functions
5.1 Defining functions with def.
5.2 Arguments: Positional, keyword, default, *args, **kwargs.
5.3 Anonymous functions (lambda).
5.4 Recursion.
6. Modules and Packages
6.1 Importing: import, from ... import.
6.2 Standard libraries: math, os, sys, random, datetime, time.
6.3 Installing external libraries with pip.
7. File Handling
7.1 Open and close files (open(), close()).
7.2 Read and write (read(), write(), readlines()).
7.3 Using context managers (with open(...)).
8. Object-Oriented Programming (OOP)
8.1 Classes and objects.
8.2 Methods and attributes.
8.3 Constructor (init).
8.4 Inheritance, polymorphism, encapsulation.
8.5 Special methods (str, repr, etc.).
9. Error and Exception Handling
9.1 try, except, else, finally.
9.2 Raising exceptions (raise).
9.3 Custom exceptions.
10. Comprehensions
10.1 List comprehensions.
10.2 Dictionary comprehensions.
10.3 Set comprehensions.
11. Iterators and Generators
11.1 Creating iterators using iter() and next().
11.2 Generators with yield.
11.3 Generator expressions.
12. Decorators and Closures
12.1 Functions as first-class citizens.
12.2 Nested functions.
12.3 Closures.
12.4 Creating and applying decorators.
13. Advanced Topics
13.1 Context managers (with statement).
13.2 Multithreading and multiprocessing.
13.3 Asynchronous programming with async and await.
13.4 Python's Global Interpreter Lock (GIL).
14. Python Internals
14.1 Mutable vs immutable objects.
14.2 Memory management and garbage collection.
14.3 Python's name == "main" mechanism.
15. Libraries and Frameworks
15.1 Data Science: NumPy, Pandas, Matplotlib, Seaborn.
15.2 Web Development: Flask, Django, FastAPI.
15.3 Testing: unittest, pytest.
15.4 APIs: requests, http.client.
15.5 Automation: selenium, os.
15.6 Machine Learning: scikit-learn, TensorFlow, PyTorch.
16. Tools and Best Practices
16.1 Debugging: pdb, breakpoints.
16.2 Code style: PEP 8 guidelines.
16.3 Virtual environments: venv.
16.4 Version control: Git + GitHub.
๐ฌ Double Tap โค๏ธ for more! ๐ง ๐ป
๐Microsoft is hiring for Software Engineer
Qualification: Bachelors / Masters Degree
Experience: Fresher (0-1 years)
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน15 โ 30 LPA
Job Location: Multiple Locations
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/microsoft-hiring-software-engineers/
Qualification: Bachelors / Masters Degree
Experience: Fresher (0-1 years)
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน15 โ 30 LPA
Job Location: Multiple Locations
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/microsoft-hiring-software-engineers/
๐Zebra is hiring for Cloud Engineer
Qualification: Bachelors Degree
Experience: 0 to 1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน10 LPA
Job Location: Pune
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/zebra-off-campus-hiring-cloud-engineer/
Qualification: Bachelors Degree
Experience: 0 to 1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน10 LPA
Job Location: Pune
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/zebra-off-campus-hiring-cloud-engineer/
๐Innovaccer is hiring for Apprentice-Data Ops Engineer
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน7-9 LPA
Job Location: Noida
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/innovaccer-hiring-freshers-data-ops/
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน7-9 LPA
Job Location: Noida
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/innovaccer-hiring-freshers-data-ops/
๐Motorola Solutions is hiring for Data Engineer
Qualification: Bachelors / Masters Degree
Experience: 0 - 2 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน6-10 LPA
Job Location: Bangalore
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/motorola-solutions-hiring-data-engineers/
Qualification: Bachelors / Masters Degree
Experience: 0 - 2 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน6-10 LPA
Job Location: Bangalore
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/motorola-solutions-hiring-data-engineers/
๐Netomi AI is hiring for SDE I (Frontend)
Qualification: Bachelors / Masters Degree
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน12- 16 LPA
Job Location: Gurugram
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/netomi-hiring-sde-i-frontend/
Qualification: Bachelors / Masters Degree
Experience: 0-1 years
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน12- 16 LPA
Job Location: Gurugram
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/netomi-hiring-sde-i-frontend/
๐LTTS is hiring for Embedded SW Developer
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน5.5 LPA
Job Location: Bangalore
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/ltts-hiring-embedded-sw-developer/
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน5.5 LPA
Job Location: Bangalore
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/ltts-hiring-embedded-sw-developer/
๐Unisys is hiring for Jr Eng Software Eng
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน5 LPA
Job Location: Bangalore
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/unisys-off-campus-hiring-eng-software-eng/
Qualification: Bachelors / Masters Degree
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน5 LPA
Job Location: Bangalore
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/unisys-off-campus-hiring-eng-software-eng/
Machine Learning โ Essential Concepts ๐
1๏ธโฃ Types of Machine Learning
Supervised Learning โ Uses labeled data to train models.
Examples: Linear Regression, Decision Trees, Random Forest, SVM
Unsupervised Learning โ Identifies patterns in unlabeled data.
Examples: Clustering (K-Means, DBSCAN), PCA
Reinforcement Learning โ Models learn through rewards and penalties.
Examples: Q-Learning, Deep Q Networks
2๏ธโฃ Key Algorithms
Regression โ Predicts continuous values (Linear Regression, Ridge, Lasso).
Classification โ Categorizes data into classes (Logistic Regression, Decision Tree, SVM, Naรฏve Bayes).
Clustering โ Groups similar data points (K-Means, Hierarchical Clustering, DBSCAN).
Dimensionality Reduction โ Reduces the number of features (PCA, t-SNE, LDA).
3๏ธโฃ Model Training & Evaluation
Train-Test Split โ Dividing data into training and testing sets.
Cross-Validation โ Splitting data multiple times for better accuracy.
Metrics โ Evaluating models with RMSE, Accuracy, Precision, Recall, F1-Score, ROC-AUC.
4๏ธโฃ Feature Engineering
Handling missing data (mean imputation, dropna()).
Encoding categorical variables (One-Hot Encoding, Label Encoding).
Feature Scaling (Normalization, Standardization).
5๏ธโฃ Overfitting & Underfitting
Overfitting โ Model learns noise, performs well on training but poorly on test data.
Underfitting โ Model is too simple and fails to capture patterns.
Solution: Regularization (L1, L2), Hyperparameter Tuning.
6๏ธโฃ Ensemble Learning
Combining multiple models to improve performance.
Bagging (Random Forest)
Boosting (XGBoost, Gradient Boosting, AdaBoost)
7๏ธโฃ Deep Learning Basics
Neural Networks (ANN, CNN, RNN).
Activation Functions (ReLU, Sigmoid, Tanh).
Backpropagation & Gradient Descent.
8๏ธโฃ Model Deployment
Deploy models using Flask, FastAPI, or Streamlit.
Model versioning with MLflow.
Cloud deployment (AWS SageMaker, Google Vertex AI).
Double Tap โค๏ธ for more ๐ง
1๏ธโฃ Types of Machine Learning
Supervised Learning โ Uses labeled data to train models.
Examples: Linear Regression, Decision Trees, Random Forest, SVM
Unsupervised Learning โ Identifies patterns in unlabeled data.
Examples: Clustering (K-Means, DBSCAN), PCA
Reinforcement Learning โ Models learn through rewards and penalties.
Examples: Q-Learning, Deep Q Networks
2๏ธโฃ Key Algorithms
Regression โ Predicts continuous values (Linear Regression, Ridge, Lasso).
Classification โ Categorizes data into classes (Logistic Regression, Decision Tree, SVM, Naรฏve Bayes).
Clustering โ Groups similar data points (K-Means, Hierarchical Clustering, DBSCAN).
Dimensionality Reduction โ Reduces the number of features (PCA, t-SNE, LDA).
3๏ธโฃ Model Training & Evaluation
Train-Test Split โ Dividing data into training and testing sets.
Cross-Validation โ Splitting data multiple times for better accuracy.
Metrics โ Evaluating models with RMSE, Accuracy, Precision, Recall, F1-Score, ROC-AUC.
4๏ธโฃ Feature Engineering
Handling missing data (mean imputation, dropna()).
Encoding categorical variables (One-Hot Encoding, Label Encoding).
Feature Scaling (Normalization, Standardization).
5๏ธโฃ Overfitting & Underfitting
Overfitting โ Model learns noise, performs well on training but poorly on test data.
Underfitting โ Model is too simple and fails to capture patterns.
Solution: Regularization (L1, L2), Hyperparameter Tuning.
6๏ธโฃ Ensemble Learning
Combining multiple models to improve performance.
Bagging (Random Forest)
Boosting (XGBoost, Gradient Boosting, AdaBoost)
7๏ธโฃ Deep Learning Basics
Neural Networks (ANN, CNN, RNN).
Activation Functions (ReLU, Sigmoid, Tanh).
Backpropagation & Gradient Descent.
8๏ธโฃ Model Deployment
Deploy models using Flask, FastAPI, or Streamlit.
Model versioning with MLflow.
Cloud deployment (AWS SageMaker, Google Vertex AI).
Double Tap โค๏ธ for more ๐ง
๐Google is hiring for Software Engineer
Qualification: Bachelorโs / Masterโs / PhD Degree
Experience: 0-1 years
Batch: 2026 / 2025 / 2024 / 2023
Salary: up to โน10 LPA
Job Location: Bengaluru
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/google-recruitment-software-engineer/
Qualification: Bachelorโs / Masterโs / PhD Degree
Experience: 0-1 years
Batch: 2026 / 2025 / 2024 / 2023
Salary: up to โน10 LPA
Job Location: Bengaluru
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/google-recruitment-software-engineer/
๐Zones is hiring for Service Desk L1
Qualification: B.Tech/ BE, BCA, M.Tech, MCA, Msc
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน3 - 3.6 LPA
Job Location: Bangalore
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/zones-opportunities-service-desk-l1/
Qualification: B.Tech/ BE, BCA, M.Tech, MCA, Msc
Experience: Fresher
Batch: 2025 / 2024 / 2023 / 2022
Salary: up to โน3 - 3.6 LPA
Job Location: Bangalore
๐ ๐๐ฝ๐ฝ๐น๐ ๐๐ฒ๐ฟ๐ฒ: https://techcompreviews.in/zones-opportunities-service-desk-l1/