Data Careers Resources & Job Updates | iamrupnath

📍PwC is hiring for Data Engineer Qualification: Bachelors / Masters Degree / BCA Experience: 0-1 yrs Salary: up to ₹8-14 LPA Job Location: Bengaluru ✅Apply Now: https://techcompreviews.in/pwc-off-campus-hiring-data-engineer/

♦️Pinkerton Recruitment Off Campus 2025 Job Role: Intelligence Analyst Qualification: Bachelors / Masters Degree Experience: Fresher Salary: up to ₹10 LPA Job Location: Bangalore Apply now : https://techcompreviews.in/pinkerton-hiring-intelligence-analyst/

Dunnhumby Off Campus Drive 2025: Hiring Functional Analyst https://techcompreviews.in/dunnhumby-hiring-functional-analyst/#google_vignette

♦️Target Recruitment Off Campus 2025 Job Role: Engineer -Frontend Qualification: Bachelors / Masters Degree Experience: Fresher Salary: up to ₹11-16 LPA Job Location: Bangalore Apply now : https://techcompreviews.in/target-hiring-frontend-engineers/

♦️Unacademy Recruitment Off Campus 2025 Job Role: Business Analyst Qualification: Bachelors / Masters Degree Experience: Fresher Salary: up to ₹9.3 LPA Job Location: Noida Apply now : https://techcompreviews.in/unacademy-hiring-business-analyst/

Adda247 Recruitment Off Campus 2025 Job Role: SDET- 1 Qualification: Bachelors / Masters Degree Experience: 0-3 yrs Salary: up to ₹7-14 LPA Job Location: Gurugram Apply now : https://techcompreviews.in/adda247-is-hiring-talented-sdet/

📍Accenture is hiring for Data Engineer Qualification: Any Graduation Experience: 0 – 2 years Salary: up to ₹6 – 14 LPA Job Location: Ahmedabad ✅Apply Now: https://techcompreviews.in/accenture-hiring-data-engineer/

Python Learning Plan in 2025 |-- Week 1: Introduction to Python | |-- Python Basics | | |-- What is Python? | | |-- Installing Python | | |-- Introduction to IDEs (Jupyter, VS Code) | |-- Setting up Python Environment | | |-- Anaconda Setup | | |-- Virtual Environments | | |-- Basic Syntax and Data Types | |-- First Python Program | | |-- Writing and Running Python Scripts | | |-- Basic Input/Output | | |-- Simple Calculations | |-- Week 2: Core Python Concepts | |-- Control Structures | | |-- Conditional Statements (if, elif, else) | | |-- Loops (for, while) | | |-- Comprehensions | |-- Functions | | |-- Defining Functions | | |-- Function Arguments and Return Values | | |-- Lambda Functions | |-- Modules and Packages | | |-- Importing Modules | | |-- Standard Library Overview | | |-- Creating and Using Packages | |-- Week 3: Advanced Python Concepts | |-- Data Structures | | |-- Lists, Tuples, and Sets | | |-- Dictionaries | | |-- Collections Module | |-- File Handling | | |-- Reading and Writing Files | | |-- Working with CSV and JSON | | |-- Context Managers | |-- Error Handling | | |-- Exceptions | | |-- Try, Except, Finally | | |-- Custom Exceptions | |-- Week 4: Object-Oriented Programming | |-- OOP Basics | | |-- Classes and Objects | | |-- Attributes and Methods | | |-- Inheritance | |-- Advanced OOP | | |-- Polymorphism | | |-- Encapsulation | | |-- Magic Methods and Operator Overloading | |-- Design Patterns | | |-- Singleton | | |-- Factory | | |-- Observer | |-- Week 5: Python for Data Analysis | |-- NumPy | | |-- Arrays and Vectorization | | |-- Indexing and Slicing | | |-- Mathematical Operations | |-- Pandas | | |-- DataFrames and Series | | |-- Data Cleaning and Manipulation | | |-- Merging and Joining Data | |-- Matplotlib and Seaborn | | |-- Basic Plotting | | |-- Advanced Visualizations | | |-- Customizing Plots | |-- Week 6-8: Specialized Python Libraries | |-- Web Development | | |-- Flask Basics | | |-- Django Basics | |-- Data Science and Machine Learning | | |-- Scikit-Learn | | |-- TensorFlow and Keras | |-- Automation and Scripting | | |-- Automating Tasks with Python | | |-- Web Scraping with BeautifulSoup and Scrapy | |-- APIs and RESTful Services | | |-- Working with REST APIs | | |-- Building APIs with Flask/Django | |-- Week 9-11: Real-world Applications and Projects | |-- Capstone Project | | |-- Project Planning | | |-- Data Collection and Preparation | | |-- Building and Optimizing Models | | |-- Creating and Publishing Reports | |-- Case Studies | | |-- Business Use Cases | | |-- Industry-specific Solutions | |-- Integration with Other Tools | | |-- Python and SQL | | |-- Python and Excel | | |-- Python and Power BI | |-- Week 12: Post-Project Learning | |-- Python for Automation | | |-- Automating Daily Tasks | | |-- Scripting with Python | |-- Advanced Python Topics | | |-- Asyncio and Concurrency | | |-- Advanced Data Structures | |-- Continuing Education | | |-- Advanced Python Techniques | | |-- Community and Forums | | |-- Keeping Up with Updates | |-- Resources and Community | |-- Online Courses (Coursera, edX, Udemy) | |-- Books (Automate the Boring Stuff, Python Crash Course) | |-- Python Blogs and Podcasts | |-- GitHub Repositories | |-- Python Communities (Reddit, Stack Overflow) Like this post for more resources like this 👍♥️ Hope it helps :)

Python Learning Plan in 2025 |-- Week 1: Introduction to Python | |-- Python Basics | | |-- What is Python? | | |-- Installing Python | | |-- Introduction to IDEs (Jupyter, VS Code) | |-- Setting up Python Environment | | |-- Anaconda Setup | | |-- Virtual Environments | | |-- Basic Syntax and Data Types | |-- First Python Program | | |-- Writing and Running Python Scripts | | |-- Basic Input/Output | | |-- Simple Calculations | |-- Week 2: Core Python Concepts | |-- Control Structures | | |-- Conditional Statements (if, elif, else) | | |-- Loops (for, while) | | |-- Comprehensions | |-- Functions | | |-- Defining Functions | | |-- Function Arguments and Return Values | | |-- Lambda Functions | |-- Modules and Packages | | |-- Importing Modules | | |-- Standard Library Overview | | |-- Creating and Using Packages | |-- Week 3: Advanced Python Concepts | |-- Data Structures | | |-- Lists, Tuples, and Sets | | |-- Dictionaries | | |-- Collections Module | |-- File Handling | | |-- Reading and Writing Files | | |-- Working with CSV and JSON | | |-- Context Managers | |-- Error Handling | | |-- Exceptions | | |-- Try, Except, Finally | | |-- Custom Exceptions | |-- Week 4: Object-Oriented Programming | |-- OOP Basics | | |-- Classes and Objects | | |-- Attributes and Methods | | |-- Inheritance | |-- Advanced OOP | | |-- Polymorphism | | |-- Encapsulation | | |-- Magic Methods and Operator Overloading | |-- Design Patterns | | |-- Singleton | | |-- Factory | | |-- Observer | |-- Week 5: Python for Data Analysis | |-- NumPy | | |-- Arrays and Vectorization | | |-- Indexing and Slicing | | |-- Mathematical Operations | |-- Pandas | | |-- DataFrames and Series | | |-- Data Cleaning and Manipulation | | |-- Merging and Joining Data | |-- Matplotlib and Seaborn | | |-- Basic Plotting | | |-- Advanced Visualizations | | |-- Customizing Plots | |-- Week 6-8: Specialized Python Libraries | |-- Web Development | | |-- Flask Basics | | |-- Django Basics | |-- Data Science and Machine Learning | | |-- Scikit-Learn | | |-- TensorFlow and Keras | |-- Automation and Scripting | | |-- Automating Tasks with Python | | |-- Web Scraping with BeautifulSoup and Scrapy | |-- APIs and RESTful Services | | |-- Working with REST APIs | | |-- Building APIs with Flask/Django | |-- Week 9-11: Real-world Applications and Projects | |-- Capstone Project | | |-- Project Planning | | |-- Data Collection and Preparation | | |-- Building and Optimizing Models | | |-- Creating and Publishing Reports | |-- Case Studies | | |-- Business Use Cases | | |-- Industry-specific Solutions | |-- Integration with Other Tools | | |-- Python and SQL | | |-- Python and Excel | | |-- Python and Power BI | |-- Week 12: Post-Project Learning | |-- Python for Automation | | |-- Automating Daily Tasks | | |-- Scripting with Python | |-- Advanced Python Topics | | |-- Asyncio and Concurrency | | |-- Advanced Data Structures | |-- Continuing Education | | |-- Advanced Python Techniques | | |-- Community and Forums | | |-- Keeping Up with Updates | |-- Resources and Community | |-- Online Courses (Coursera, edX, Udemy) | |-- Books (Automate the Boring Stuff, Python Crash Course) | |-- Python Blogs and Podcasts | |-- GitHub Repositories | |-- Python Communities (Reddit, Stack Overflow) Like this post for more resources like this 👍♥️ Hope it helps :)

Hi, Looking for a Data engineer for a long term project support on below : Experience: 3-7 yrs - Snowflake - Azure Cloud tools, including Azure Databricks, Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. - cloud data architecture - experience with migrating and integrating data systems to cloud-based platforms - Data Modelling and Schema migration If interested text me on WhatsApp your resume 📩 at 8420685387.

Java Roadmap 🍿 |-- Fundamentals | |-- Basics of Programming | | |-- Introduction to Java | | |-- Java Development Kit (JDK) and Java Runtime Environment (JRE) | | |-- Setting Up Development Environment (IDE: IntelliJ IDEA, Eclipse, etc.) | | | |-- Syntax and Structure | | |-- Basic Syntax | | |-- Variables and Data Types | | |-- Operators and Expressions | |-- Control Structures | |-- Conditional Statements | | |-- If-Else Statements | | |-- Switch Case | | | |-- Loops | | |-- For Loop | | |-- While Loop | | |-- Do-While Loop | | | |-- Exception Handling | | |-- Try-Catch Block | | |-- Finally Block | | |-- Throw and Throws Keywords | |-- Object-Oriented Programming (OOP) | |-- Basics of OOP | | |-- Classes and Objects | | |-- Methods and Constructors | | | |-- Inheritance | | |-- Single and Multiple Inheritance | | |-- Method Overriding | | |-- Super Keyword | | | |-- Polymorphism | | |-- Method Overloading | | |-- Runtime Polymorphism | | |-- Dynamic Method Dispatch | | | |-- Encapsulation | | |-- Access Modifiers (Public, Private, Protected) | | |-- Getters and Setters | | |-- Data Hiding | | | |-- Abstraction | | |-- Abstract Classes | | |-- Interfaces | |-- Advanced Java | |-- Collections Framework | | |-- List (ArrayList, LinkedList) | | |-- Set (HashSet, TreeSet) | | |-- Map (HashMap, TreeMap) | | |-- Queue (PriorityQueue, LinkedList) | | | |-- Concurrency | | |-- Multithreading (Creating Threads, Thread Lifecycle) | | |-- Synchronization | | |-- Concurrency Utilities (Executors Framework, Callable and Future, Locks and Semaphores) | |-- Java Standard Libraries | |-- I/O Streams | | |-- File Handling (File Class, Reading and Writing Files) | | |-- Streams (Byte Streams, Character Streams, Buffered Streams) | | | |-- Networking | | |-- Sockets (TCP and UDP, Socket and ServerSocket Classes) | | |-- URL and HTTP (URL Class, HttpURLConnection) | | | |-- JDBC | | |-- Database Connectivity (JDBC Drivers, Connection, Statement, and ResultSet) | | |-- PreparedStatement and CallableStatement | |-- Java Frameworks | |-- Spring Framework | | |-- Spring Core (Dependency Injection, Inversion of Control) | | |-- Spring MVC (Model-View-Controller Architecture) | | |-- Spring Boot (Creating Spring Boot Applications, Starters and Auto-Configuration, Actuator) | | | |-- Hibernate | | |-- ORM Basics (Introduction to ORM, Configuration and Mapping) | | |-- Advanced Hibernate (Caching, Transactions and Concurrency, Criteria API) | |-- Web Development with Java | |-- Java EE (Jakarta EE) | | |-- Servlets (Lifecycle, Handling HTTP Requests and Responses, Session Management) | | |-- JavaServer Pages (JSP) (Syntax, Directives, JSTL and Custom Tags, Expression Language) | | | |-- RESTful Web Services | | |-- JAX-RS (Creating RESTful Services, Annotations and HTTP Methods, Consuming RESTful Services) | |-- Build Tools and Dependency Management | |-- Maven | | |-- Project Object Model (POM), Dependencies, Repositories, Build Lifecycle and Plugins | | | |-- Gradle | | |-- Build Scripts, Dependency Management, Task Automation | |-- Testing in Java | |-- Unit Testing | | |-- JUnit (Annotations, Assertions, Test Suites and Runners) | | | |-- Mockito (Creating Mocks and Spies and Verification) | | | |-- Integration Testing | | |-- Spring Test (Testing Spring Components and WebTestClient) | |-- Deployment and DevOps | |-- Containers and Microservices | | |-- Docker (Dockerfile, Image Creation, Container Management) | | |-- Kubernetes (Pods, Services, Deployments, Managing Java Applications on Kubernetes)

📌 Amadeus Recruitment Job Role: Software Engineer Experience: Fresher Salary: up to ₹10 LPA Job Location: Pune ⭕️ Apply Now: https://techcompreviews.in/amadeus-hiring-software-engineer/

📌 Quicko Recruitment Job Role: Full Stack Developer Experience: 0-1 year Salary: up to ₹7-8 LPA Job Location: Ahmedabad ⭕️ Apply Now: https://techcompreviews.in/quicko-hirng-full-stack-developer/

📌 GreyOrange Recruitment Job Role: Engineer – Software Development Experience: 0 – 3 Years Salary: up to ₹8-15 LPA Job Location: Gurgaon ⭕️ Apply Now: https://techcompreviews.in/greyorange-hiring-software-development/

📌 Qualcomm Recruitment Job Role: Software Engineer-Intern Experience: Fresher (0-1 yrs) Salary: up to ₹3-9 LPA Job Location: Chennai ⭕️ Apply Now: https://techcompreviews.in/qualcomm-hiring-software-engineer-intern/

🚀 Rubrik Recruitment Job Role: Software Engineer – UI Salary: up to ₹8 -12 LPA Job Location: Bangalore Apply link: https://techcompreviews.in/rubrik-hiring-software-engineer-ui/

📌 Maersk Recruitment Job Role: Software Engineer Qualification: Bachelors / Masters Degree Experience: 0-2 yrs Salary: up to ₹13-28 LPA Job Location: Bangalore ⭕️Apply link: https://techcompreviews.in/maersk-hiring-software-engineer/