Data Engineering

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Discover the essentials of data engineering, including data modeling, processing, and storage techniques. Gain hands-on experience with industry-leading tools and technologies to build robust data pipelines and infrastructure. Master the skills needed to extract valuable insights from large datasets and drive informed decision-making.

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Course content

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  1. What is Python?
  2. A Brief history of Python Why Should I Learn Python?
  3. Installing Python How to execute.
  4. Python program Write your first program

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Practice Question

  1. What is Python, and why is it popular in the programming community?
  2. Can you provide a brief history of Python’s development?
  3. What are some reasons why someone should learn Python?
  4. How do you install Python on your computer?
  5. What are the different ways to execute Python code?
  6. How do you write and save a Python program?
  7. Could you walk me through the process of writing my first Python program?
  8. What is a Python script, and how does it differ from a Python program?
  9. How do you run a Python script from the command line?
  10. What are some online resources or tutorials for beginners to learn Python programming?
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  1. What is a variable?
  2. A Brief Data From and type

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Practice Question

  1. What is a variable in Python?
  2. How do you declare a variable in Python?
  3. What are the rules for naming variables in Python?
  4. How do you assign a value to a variable in Python?
  5. What are the basic data types supported by Python?
  6. How do you determine the data type of a variable in Python?
  7. Explain the difference between mutable and immutable data types in Python.
  8. How do you convert one data type to another in Python?
  9. What is type casting in Python?
  10. Can you provide examples of each basic data type in Python?
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  1. Variables Numbers String Lists ,Tuples & Dictionary and more. 

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Practice Question

  1. What are the two main categories of data types in Python?
  2. Give examples of immutable data types in Python.
  3. Explain the characteristics of mutable data types with examples.
  4. Differentiate between a list and a tuple in Python.
  5. What is the purpose of a dictionary in Python, and how is it defined?
  6. Describe the key features of sets in Python.
  7. What is the boolean data type used for in Python, and how is it represented?
  8. How do you create a complex number in Python?
  9. Explain the concept of type conversion in Python with examples.
  10. Discuss the differences between shallow copy and deep copy in Python, using examples if possible.
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  1. Tuple CRUD opration.
  2. Tuple Methods.

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Practice Question

  1. How do you create a tuple in Python? Provide an example.
  2. How do you access elements in a tuple in Python? Give an example.
  3. Is it possible to update the values of a tuple in Python? Explain.
  4. How do you delete an element from a tuple in Python?
  5. How do you concatenate two tuples in Python? Show with an example.
  6. How do you check if an element exists in a tuple in Python?
  7. How do you find the length of a tuple in Python?
  8. Explain tuple slicing in Python with an example.
  9. Discuss the concept of immutability in Python tuples.
  10. What are the advantages of using tuples over lists in Python?
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  1. List CRUD opration.
  2. List Methods.

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Practice Question

  1. What is a list in Python?
  2. How do you create an empty list in Python?
  3. Explain how to access elements in a list in Python.
  4. What is slicing in Python lists? Provide an example.
  5. How can you check if a specific element exists in a list in Python?
  6. Explain the difference between the append() and extend() methods in Python lists.
  7. How do you remove an element from a list in Python?
  8. What is the difference between the remove() and pop() methods in Python lists?
  9. Explain list comprehension in Python with an example.
  10. How can you sort a list in Python? Provide different methods
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  1. Dict CRUD opration.
  2. Dict Methods..

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Practice Question

  1. What is a dictionary in Python?
  2. How do you create an empty dictionary in Python?
  3. Explain how to access values in a dictionary in Python.
  4. What is the difference between a dictionary and a list in Python?
  5. How do you add a new key-value pair to an existing dictionary in Python?
  6. Explain the difference between the update() and setdefault() methods in Python dictionaries.
  7. How can you remove a key-value pair from a dictionary in Python?
  8. What is dictionary comprehension in Python? Provide an example.
  9. Explain the usage of the keys(), values(), and items() methods in Python dictionaries.
  10. How do you check if a specific key exists in a dictionary in Python?
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  1. Set CRUD opration.
  2. Set Methods.

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Practice Question

  1. What is a set in Python?
  2. How do you create an empty set in Python?
  3. Explain the difference between a set and a list in Python.
  4. How do you add elements to a set in Python?
  5. Can a set contain duplicate elements? Explain.
  6. What is the purpose of using a set in Python?
  7. How can you perform set operations like union, intersection, and difference in Python?
  8. Explain the difference between the add() and update() methods in Python sets.
  9. How do you remove an element from a set in Python?
  10. What is the difference between a set and a frozenset in Python?
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  1. if…statement
  2. if…else statement
  3. elif…statement .

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Practice Question

  1. What is a conditional statement in Python?
  2. How do you write a basic if statement in Python?
  3. What is the purpose of the else keyword in an if-else statement?
  4. How do you write an if-else statement in Python?
  5. What does the elif keyword do in Python?
  6. How do you nest if statements in Python?
  7. How do you compare two values in Python?
  8. What is the difference between == and = in Python?
  9. How do you check if a number is greater than or equal to another number in Python?
  10. How do you check if a value exists in a list using a conditional statement?
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  1. Destructuring syntax Iterating over dictionaries List slicing in Python
  2. List comprehension in Python
  3. Comprehensions with conditionals
  4. Set and dictionary comprehensions
  5. Arguments and parameters
  6. Functions and return values in Python
  7. Default parameter values

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Practice Question

  1. What is destructuring assignment in Python and provide an example?
  2. How do you iterate over the keys and values of a dictionary in Python?
  3. Explain what list slicing is in Python and provide an example.
  4. What is a list comprehension in Python and how do you use it?
  5. How do you include conditionals in list comprehensions to filter elements?
  6. What are set and dictionary comprehensions, and how do they differ from list comprehensions?
  7. What is the difference between arguments and parameters in Python functions?
  8. How do you define a function in Python, and how do you return values from it?
  9. What are default parameter values in Python functions, and how are they used?
  10. What is the difference between function arguments and parameters in Python?
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  1. The while…Loop
  2. The for….Loop . 

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Practice Question

  1. What is the purpose of using loops in Python?
  2. How do you create a for loop in Python
  3. How do you create a while loop in Python?
  4. What is the difference between a for loop and a while loop?
  5. How do you iterate through a list using a for loop?
  6. How do you iterate through a string using a for loop?
  7. How do you iterate through a range of numbers using a for loop?
  8. How do you use the range() function in a for loop?
  9. How do you exit a loop prematurely in Python?
  10. How do you skip the current iteration of a loop in Python?
  11. How do you loop through a dictionary using a for loop?
  12. How do you use the enumerate() function in a loop?
  13. How do you loop through multiple lists simultaneously?
  14. How do you find the sum of all elements in a list using a loop?
  15. How do you find the maximum value in a list using a loop?
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  1. Continue statement
  2. Break statement
  3. Pass statement

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Practice Question

  1. What does continue do in loops? Differentiate it from break.
  2. Explain the role of break in loops with an example.
  3. Describe the use case for pass in Python.
  4. How does continue affect loop execution?
  5. How does break function in nested loops?
  6. When would you employ continue to skip loop iterations?
  7. Provide a scenario necessitating the use of pass.
  8. Can break be used outside of loops in Python?
  9. How do you prematurely exit a loop with break based on a condition?
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  1. Define function Calling a function
  2. Function arguments Built-in functions.

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Practice Question

  1. What is the purpose of using loops in Python?
  2. How do you create a for loop in Python
  3. How do you create a while loop in Python?
  4. What is the difference between a for loop and a while loop?
  5. How do you iterate through a list using a for loop?
  6. How do you iterate through a string using a for loop?
  7. How do you iterate through a range of numbers using a for loop?
  8. How do you use the range() function in a for loop?
  9. How do you exit a loop prematurely in Python?
  10. How do you skip the current iteration of a loop in Python?
  11. How do you loop through a dictionary using a for loop?
  12. How do you use the enumerate() function in a loop?
  13. How do you loop through multiple lists simultaneously?
  14. How do you find the sum of all elements in a list using a loop?
  15. How do you find the maximum value in a list using a loop?
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  1. Modules How to import a module…?
  2. Command line arguments using sys module
  3. Standard module- os Packages

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Practice Question

  1. What is a module in Python, and why are they used?
  2. How do you import a module in Python?
  3. Explain the difference between import module and from module import ....
  4. How can you access attributes or functions from an imported module in Python?
  5. What is the purpose of the sys.argv list in Python, and how is it used to handle command-line arguments?
  6. How do you access command-line arguments passed to a Python script using the sys module?
  7. Describe some common functionalities provided by the os module in Python.
  8. How do you navigate directories and handle files using the os module?
  9. What are standard modules in Python, and why are they called “standard”?
  10. What is a package in Python, and how does it differ from a module?
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  1. Introduction about classes & objects
  2. Creating a class & object
  3.  

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Practice Question

  1. What is a class in Python?
  2. How do you define a class in Python?
  3. What is an object in Python?
  4. How do you create an object from a class in Python?
  5. What is the purpose of the __init__ method in a class?
  6. How do you define attributes in a class?
  7. How do you access attributes of an object in Python?
  8. What is the difference between an instance attribute and a class attribute?
  9. How do you define methods in a class?
  10. What is the purpose of the self parameter in a class method?
  11. How do you call a method on an object in Python?
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  1. Introduction to errors in Python Built in errors in
  2. Python Raising errors in Python
  3. Creating our own errors in Python
  4. Dealing with Python errors The on success block and re-raising exceptions
  5. Handling those pesky user errors! Debugging with Pycharm

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Practice Question

  1. What are errors in Python, and why do they occur?
  2. Name three common built-in error types in Python and briefly explain each.
  3. How do you raise an error intentionally in Python, and why would you do so?
  4. What is the purpose of creating custom error classes in Python?
  5. Describe the basic syntax for handling exceptions in Python.
  6. What does the “finally” block in Python exception handling do?
  7. How do you re-raise exceptions in Python, and when might you use this?
  8. Explain the importance of handling user errors gracefully in Python applications.
  9. What is debugging, and why is it important in software development?
  10. How can PyCharm assist in debugging Python code efficiently?
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  1. Writing data to a file Reading data from a file
  2. Additional file methods Working with files
  3. Working with Directories Using the with syntax in Python
  4. Import errors and running as a Python script

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Practice Question

  1. How do you write data to a file in Python?
  2. Explain the process of reading data from a file in Python.
  3. Name three additional file methods in Python and briefly describe each.
  4. What are some common tasks involved in working with files in Python?
  5. How do you work with directories (folders) in Python?
  6. Describe the purpose and usage of the with statement in Python file I/O.
  7. What are import errors, and why do they occur in Python?
  8. How can you handle import errors gracefully in Python scripts?
  9. What are some best practices for organizing and structuring Python code when using multiple files or modules?
  10. How do you run a Python script as a standalone program from the command line?
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  1. Installing Pl/Sql
  2. Basic commands of sql
  3. CRUD operations through python

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Practice Question

  1. How do you install PL/SQL on your system?
  2. What is SQL, and what are its primary functions?
  3. Name four basic SQL commands and briefly describe each.
  4. How do you create a new table in a SQL database?
  5. Explain the purpose of the SELECT statement in SQL and provide an example.
  6. What are CRUD operations, and how are they used in database management?
  7. How do you connect to a database using Python?
  8. Describe how you would perform a CREATE operation (inserting data) in a SQL database using Python.
  9. What is the purpose of the WHERE clause in SQL, and how is it used in CRUD operations?
  10. How do you execute an SQL query to retrieve data from a database using Python?
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  1. Generators in Python
  2. Python generator classes and iterators Iterables in
  3. Python The filter() function in
  4. Python The map() function in Python any() and all() in Python

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Practice Question

  1. What is a generator in Python, and how does it differ from a regular function?
  2. Explain the concept of Python generator classes and how they are used.
  3. What is an iterator in Python, and how does it relate to generators?
  4. Describe what makes an object iterable in Python.
  5. How does the filter() function work in Python, and what is its purpose?
  6. Explain the basic usage of the map() function in Python.
  7. What is the purpose of the any() and all() functions in Python?
  8. How do you create a generator function in Python?
  9. What are the benefits of using generators over lists in certain situations?
  10. Provide an example of using a generator expression to generate a sequence of even number
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  1. Mutability in Python
  2. Default values for parameters Argument
  3. unpacking in Python Queues in Python
  4. Dates and time in Python Regex in Python

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Practice Question

  1. What does mutability mean in Python, and how does it differ from immutability?
  2. Explain how default parameter values work in Python functions.
  3. What is argument unpacking in Python, and how is it useful?
  4. Describe the purpose of queues in Python, and provide an example of when you might use them.
  5. How do you work with dates and times in Python?
  6. What is the datetime module, and how do you use it to manipulate dates and times?
  7. Explain the basic syntax for defining regular expressions (regex) in Python.
  8. How do you search for patterns within a string using regular expressions in Python?
  9. What are capture groups in regular expressions, and how do you use them?
  10. Describe the difference between match() and search() functions in the re module.
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  1. What is Django..?
  2. Installing Django

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Practice Question

  1. What is Django, and what role does it play in web development?
  2. Describe some key features of Django.
  3. How does Django facilitate rapid development of web applications?
  4. What programming language is Django primarily based on?
  5. What is a virtual environment, and why is it recommended to use one when working with Django?
  6. What command is used to install Django using pip?
  7. How do you create a new Django project?
  8. What is the purpose of the manage.py file in a Django project?
  9. What is the Django admin site, and how can it be used for managing application data?
  10. How do you start the Django development server, and on which port does it usually run by default?
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  1. Define models Setting up database access Creating django apps
  2. Defining model fields Creating a model
  3. How to create tables for models in Database Inserting & updating Data Deleting Objects

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Practice Question

  1. What are models in Django, and what role do they play in web development?
  2. How do you set up database access in Django settings?
  3. Explain the process of creating a new Django app.
  4. What are model fields, and how are they defined in Django?
  5. Describe the steps involved in creating a model in Django.
  6. How do you create tables for models defined in Django in the database?
  7. What command is used to create database tables based on Django models?
  8. How can you insert new data into a database table using Django models?
  9. Explain how to update existing data in a database table using Django models.
  10. What method is used to delete objects from a database table in Django?
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  1. Your First View Mapping urls to Views
  2. How django process a request..? Urlpatterns 404 Errors.

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Practice Question

  1. What is a view in Django, and what role does it play in handling web requests?
  2. How do you map URLs to views in Django?
  3. Describe the process Django follows to handle a request from the client to the server.
  4. What is a URL pattern, and how is it defined in Django?
  5. Explain the purpose of urlpatterns in Django’s URL configuration.
  6. What is the role of the Django’s URL dispatcher?
  7. How does Django handle 404 errors (Page Not Found) by default?
  8. Can you customize the default 404 error page in Django? If so, how?
  9. How do you create a new view in Django?
  10. Describe the steps involved in mapping a URL to a view in Django’s URL configuration.
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  1. Template Basic
  2. Contexts Built-in Tags & filters Using Templates in Views

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Practice Question

  1. What are templates in Django, and why are they used?
  2. Explain the concept of contexts in Django templates.
  3. Name three built-in tags in Django templates and describe their purposes.
  4. Describe the purpose of built-in filters in Django templates, and provide an example.
  5. How do you pass context data from views to templates in Django?
  6. What is the syntax for accessing variables in Django templates?
  7. How do you include one template within another in Django?
  8. Explain the purpose of template inheritance in Django.
  9. How can you use template tags to conditionally render content in Django templates?
  10. Describe the process of rendering a template in a Django view and returning it as an HTTP response.
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  1. Enabling admin interface
  2. Creating admin us

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Practice Question

  1. How do you enable the admin interface in a Django project?
  2. What is the purpose of the django.contrib.admin application in Django?
  3. Describe the steps involved in registering a model with the Django admin interface.
  4. How do you create a superuser account in Django using the command line?
  5. What information is required when creating a superuser in Django?
  6. Explain the purpose of the USERNAME_FIELD attribute in a Django custom user model.
  7. How can you customize the appearance and behavior of the Django admin interface?
  8. Describe the process of creating a staff user in Django and assigning admin permissions.
  9. What permissions does a staff user have in the Django admin interface by default?
  10. How do you restrict access to certain models or sections of the admin interface to specific user groups?
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  1. Forms in Django Searching Query GET & POS
  2. Form fields in django
  3. Building a form in Django T methods

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Practice Question

  1. What is the purpose of forms in Django, and how are they used in web development?
  2. Describe the difference between GET and POST methods in form submission.
  3. How do you access form data in Django views using the GET method?
  4. Explain how to access form data in Django views using the POST method.
  5. What are form fields in Django, and how are they defined?
  6. How do you create a form class in Django, and what are some common attributes/methods?
  7. Describe the process of building a form in Django templates.
  8. What are some common form field types available in Django?
  9. How can you handle form validation in Django, and what are some built-in validation options?
  10. Explain the purpose of using CSRF protection in Django forms, and how is it implemented?
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  1. User objects Using the
  2. Django authentication system

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Practice Question

  1. What is user authentication, and why is it important in web applications?
  2. Describe the built-in user authentication system provided by Django.
  3. How do you create a new user account in Django using the built-in authentication system?
  4. What are the steps involved in setting up user authentication in a Django project?
  5. Explain the purpose of Django’s authentication middleware.
  6. How do you log a user into a Django application programmatically?
  7. Describe the process of logging a user out of a Django application.
  8. What are Django’s authentication views, and how are they used?
  9. How can you restrict access to certain views or pages to authenticated users only in Django?
  10. Explain the concept of permissions in Django authentication, and how are they managed?
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  1. Creating multidimensional array NumPy-Data types
  2. Array attributes Indexing and Slicing
  3. Creating array views and copies
  4. Manipulating array shapes I/O with NumPy

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Practice Question

  1. What is NumPy, and what is its primary purpose in Python?
  2. Describe how to create a multidimensional array in NumPy.
  3. What are data types in NumPy, and how are they specified when creating arrays?
  4. Name three array attributes in NumPy and briefly explain each.
  5. Explain the difference between indexing and slicing in NumPy arrays.
  6. How do you create views and copies of NumPy arrays, and what is the difference between them?
  7. Describe methods for manipulating the shape of NumPy arrays.
  8. How do you read and write data to files using NumPy’s I/O functions?
  9. Provide an example of how to perform element-wise arithmetic operations on NumPy arrays.
  10. What are some advantages of using NumPy arrays over standard Python lists for numerical computing tasks?
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  1. Installing pandas
  2. Pandas Data frames Pandas Series
  3. Data aggregation with Pandas Data Frames
  4. Concatenating and appending
  5. Data Frames Joining Data Frames
  6. Handling missing data Writing CSV files with NumPy and pandas
  7. HDF5 format Reading and writing to Excel with pandas
  8. JSON data Parsing HTML with Beautiful Soup

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Practice Question

  1. How do you install pandas in Python?
  2. What are pandas data frames, and how are they used?
  3. Explain the purpose of pandas series and how they differ from data frames.
  4. Describe the process of data aggregation with pandas data frames.
  5. What are the differences between concatenating and appending data frames in pandas?
  6. How do you join pandas data frames, and what are the different types of joins?
  7. What methods does pandas provide for handling missing data in data frames?
  8. How do you write data frames to CSV files using pandas?
  9. What is the HDF5 format, and how can you use it to store data with pandas?
  10. Describe how to read and write Excel files using pandas.

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Data Engineer: Transforming raw data into valuable insights, Data Engineers design, construct, and maintain data pipelines, ensuring efficient data flow and storage. Leveraging a blend of programming skills and data management expertise, they collaborate with Data Scientists and Analysts to create scalable solutions that drive informed decision-making. With a focus on reliability and performance, Data Engineers play a pivotal role in optimizing data infrastructure to support business objectives.

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