Data_Engineer.ai
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Join the page for latest job updates and also provide study material for data engineering, data analysis, data science and Deep Learning.
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Citi hiring for Fresher Data Scientist

https://jobs.citi.com/job/-/-/287/63060553280?
Hi Everyone,
If you are interested in the data analysis , data science , data engineering field and planning to get a job here and need guidance for that . Please have a look to my channell. Specially for LNCT students, there will be no fees for this. Also providing resources, resume making and live projects for LNCT students.
Instagram Link: https://www.instagram.com/data_engineer.ai?igsh=ZnozNm94cjVkYWN2&utm_source=qr
Telegram Link: https://t.me/Data_engineerai
Youtube Link: https://youtube.com/@DataEngineer_ai?si=xUQV_lKiDgaUQI-2

This is just help and guide freshers and professionals .
โค1
Amazon Hiring Fresher For Data Analyst
Location: Bangalore, Hyderabad, Gurugram
Qualification: Bachelor/Master Degree
Work Experience: Fresher
Salary: 5 - 8 LPA

๐Ÿ‘โœ…Apply Link: https://www.amazon.jobs/en/jobs/2616762/data-analyst-abcs-analytics


Ebizon Hiring Fresher For Data Analyst
Location: Dehradun
Qualification: Bachelor/Master Degree
Work Experience: 0-1


โœ…๐Ÿ‘Apply Link: https://www.naukri.com/job-listings-data-analyst-fresher-ebizon-net-info-pvt-ltd-dehradun-0-to-1-years-260424500402

โœ…For Daily job Updates join here: https://t.me/data_engineerai.
NTT DATA is hiring!
Position: Data Analyst
Experience: Entry Level
Location: Hyderabad, India

https://nttdata.eightfold.ai/careers?pid=563327918064034&domain=nttdata.com


โœ…Follow @data_engineerai
PayPal hiring Software Engineer

Company: PayPal

Qualifications: BE/BTech

Experience Needed: Freshers

Apply Now
https://www.k2atech.in/2024/04/PayPal-hiring-Software-Engineer.html

Telegram: https://t.me/data_engineerai

*If you are getting any issues in the application process then DM me.

Share This opportunity with your Friends and WhatsApp Groupโค๏ธ
Marsh McLennan Off Campus Hiring Fresher For Analyst
Location : Pune
Qualification : B.E/B.Tech/M.E/M.Tech/MCA
Work Experience : Fresher - 1 year
CTC : 4 - 5 LPA

Apply Link : https://careers.marshmclennan.com/global/en/job/R_266528/Analyst-Implementation-Services


โœ…Follow @data_engineerai
cult.fit Hiring Fresher For Business Analyst
Location: Bangalore
Qualification: Bachelor/Master Degree
Work Experience: Freshers
Salary: 7 - 10 LPA

Apply Link: https://careers.cult.fit/#!/job-view/business-analyst-bangalore-business-analysis-2023081811283322

for Daily job Updates join here: https://t.me/data_engineerai โœ…

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Marsh McLennan Off Campus Hiring Fresher For Analyst
Location : Pune
Qualification : B.E/B.Tech/M.E/M.Tech/MCA
Work Experience : Fresher - 1 year
CTC : 4 - 5 LPA
Apply Link : https://careers.marshmclennan.com/global/en/job/R_266528/Analyst-Implementation-Services


โœ…Follow @data_engineerai
Grow Solutions Hiring for Fresher Data Analyst              
Location: Gujrat
Qualification : Any degree       
Work Experience: Fresher        
CTC: upto 8 LPA                 
Apply Link: https://grow.keka.com/careers/jobdetails/59500


Deliveroo Hiring for Fresher Machine Learning Engineer          
Location: Hyderabad
Qualification : Any degree       
Work Experience: Fresher        
CTC: upto 8 LPA                 
Apply Link: https://boards.greenhouse.io/deliveroo/jobs/5688028?gh_src=1df4cbd01us

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All the best ๐Ÿ‘๐Ÿ‘
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SQL (Structured Query Language) is widely used for several reasons:

1. Universal Language: SQL is the standard language for relational database management systems (RDBMS). It allows users to access and manipulate databases, making it a universal skill for working with data.

2. Powerful Querying: SQL provides powerful capabilities for querying and retrieving data from databases. It allows users to filter, sort, aggregate, and analyze data efficiently.

3. Data Integrity: SQL databases enforce data integrity through constraints (like unique keys, foreign keys, etc.), ensuring accuracy and reliability of data.

4. Scalability: SQL databases are scalable, handling large datasets and complex queries effectively. They are suitable for both small-scale applications and large enterprise systems.

5. Ease of Use: SQL is designed to be relatively easy to learn and use, especially for those familiar with relational concepts. Its declarative nature (specifying what data is needed, not how to retrieve it) makes it intuitive.

6. Industry Standard: SQL is used across industries and is supported by many vendors (such as Oracle, MySQL, PostgreSQL, Microsoft SQL Server), ensuring compatibility and support options.

7. Data Manipulation: Beyond querying, SQL supports data manipulation operations like inserting, updating, and deleting data, essential for maintaining and managing databases.

Overall, SQL's versatility, efficiency, and widespread adoption make it a fundamental tool for working with structured data in a relational database environment.
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Hi,

This is Rahul from the DataEngineer.ai Instagram page. Are you interested in learning SQL?

Course Details:

Duration: 18 hours
Time: 2 Hours per session
Attached is the SQL syllabus for your review. Please go through it and let me know if you have any questions or if you're interested in joining.

Fees for Group Classes: ~โ‚น6,000~ โ‚น1599

For more information, you can visit our social media pages:

YouTube: https://www.youtube.com/channel/UCI0hPhNE4sIZrV8YTMwOXCg
Instagram: https://www.instagram.com/data_engineer.ai/?hl=en
Telegram: https://t.me/Data_engineerai

Looking forward to hearing from you!

Best regards,
Rahul K
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Expand your job search to increase your chances of becoming a data analyst.

Here are alternative roles to explore:

1. ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Focuses on using data to improve business processes and decision-making.

2. ๐—ข๐—ฝ๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Specializes in analyzing operational data to optimize efficiency and performance.

3. ๐— ๐—ฎ๐—ฟ๐—ธ๐—ฒ๐˜๐—ถ๐—ป๐—ด ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Uses data to drive marketing strategies and measure campaign effectiveness.

4. ๐—™๐—ถ๐—ป๐—ฎ๐—ป๐—ฐ๐—ถ๐—ฎ๐—น ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Analyzes financial data to support investment decisions and financial planning.

5. ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Evaluates product performance and user data to help product development.

6. ๐—ฅ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Conducts data-driven research to support strategic decisions and policy development.

7. ๐—•๐—œ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Transforms data into actionable business insights through reporting and visualization.

8. ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐—ถ๐˜๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Utilizes statistical and mathematical models to analyze large datasets, often in finance.

9. ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—œ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐˜€ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Analyzes customer data to improve customer experience and drive retention.

10. ๐——๐—ฎ๐˜๐—ฎ ๐—–๐—ผ๐—ป๐˜€๐˜‚๐—น๐˜๐—ฎ๐—ป๐˜: Provides expert advice on data strategies, data management, and analytics to organizations.

11. ๐—ฆ๐˜‚๐—ฝ๐—ฝ๐—น๐˜† ๐—–๐—ต๐—ฎ๐—ถ๐—ป ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Analyzes supply chain data to optimize logistics, reduce costs, and improve efficiency.

12. ๐—›๐—ฅ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐˜: Uses data to improve human resources processes, from recruitment to employee retention and performance management.


Hope this helps you ๐Ÿ˜Š
Sure! Here are some fundamental concepts in SQL that are essential to understand:

1. Database: A database is a collection of related data organized in a structured format. It typically consists of tables that store data in rows and columns.

2. Table: A table is a basic unit of data storage in a database. It consists of rows and columns where each row represents a record and each column represents a field of the record.

3. Schema: A schema is a logical structure of the database that defines the tables, fields, relationships, and constraints. It provides a blueprint for how the database is constructed.

4. SQL Statements: SQL uses various statements to interact with databases:
- SELECT: Retrieves data from one or more tables.
- INSERT: Adds new rows of data into a table.
- UPDATE: Modifies existing data in a table.
- DELETE: Removes rows from a table.
- CREATE: Creates objects like tables, views, or indexes.
- ALTER: Modifies existing database objects.
- DROP: Deletes database objects.
- GRANT/REVOKE: Manages access rights to database objects.

5. Data Types: SQL supports different data types for storing data in tables, such as INTEGER, VARCHAR, DATE, TIMESTAMP, etc. Each data type defines the kind of data that can be stored in a column.

6. Constraints: Constraints enforce rules for data in tables to ensure data integrity. Common constraints include:
- PRIMARY KEY: Ensures each row in a table is unique and identifies each row uniquely.
- FOREIGN KEY: Establishes a relationship between tables.
- UNIQUE: Ensures values in a column or a group of columns are unique.
- NOT NULL: Ensures a column cannot have NULL values.
- CHECK: Defines a condition that each row must satisfy.

7. Joins: Joins combine rows from two or more tables based on related columns between them. Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

8. Aggregate Functions: SQL provides functions like SUM, AVG, COUNT, MIN, and MAX to perform calculations on groups of rows and return single values.

9. Transactions: Transactions are sequences of SQL statements that are executed as a single unit. They ensure data integrity by allowing either all operations in the transaction to be completed successfully or none of them.

10. Indexes: Indexes improve the speed of data retrieval operations on a database table at the cost of additional storage space and decreased performance on insert and update operations.

These concepts provide a solid foundation for understanding and working with SQL databases. Mastering these basics allows you to write queries effectively and manage data efficiently in a relational database management system.
Company: Gainwell Technologies!
Position: Data Analyst
Experienc๏ปฟe: Freshers/ Experienced

https://jobs.gainwelltechnologies.com/job/Bangalore-Data-Analyst-KA-560100/1150924900/
Aspirature Technologies is hiring!
Position: AI/ML Engineer
Salary: 6 to 10 LPA
Experience: Experienced
Location: Bangalore, India
๐Ÿ“ŒApply Now: https://codercatalyst.com/jobs/aspirature-technologies-hiring-ai-ml-engineer-fresher-experienced/

All the best...!
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