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Eurofins is hiring!
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Complete 14-day roadmap to learn SQL learning:

Day 1: Introduction to Databases
- Understand the concept of databases and their importance.
- Learn about relational databases and SQL.
- Explore the basic structure of SQL queries.

Day 2: Basic SQL Syntax
- Learn SQL syntax: statements, clauses, and keywords.
- Understand the SELECT statement for retrieving data.
- Practice writing basic SELECT queries with conditions and filters.

Day 3: Retrieving Data from Multiple Tables
- Learn about joins: INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Understand how to retrieve data from multiple tables using joins.
- Practice writing queries involving multiple tables.

Day 4: Aggregate Functions
- Learn about aggregate functions: COUNT, SUM, AVG, MIN, MAX.
- Understand how to use aggregate functions to perform calculations on data.
- Practice writing queries with aggregate functions.

Day 5: Subqueries
- Learn about subqueries and their role in SQL.
- Understand how to use subqueries in SELECT, WHERE, and FROM clauses.
- Practice writing queries with subqueries.

Day 6: Data Manipulation Language (DML)
- Learn about DML commands: INSERT, UPDATE, DELETE.
- Understand how to add, modify, and delete data in a database.
- Practice writing DML statements.

Day 7: Data Definition Language (DDL)
- Learn about DDL commands: CREATE TABLE, ALTER TABLE, DROP TABLE.
- Understand constraints: PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL.
- Practice designing database schemas and creating tables.

Day 8: Data Control Language (DCL)
- Learn about DCL commands: GRANT, REVOKE for managing user permissions.
- Understand how to control access to database objects.
- Practice granting and revoking permissions.

Day 9: Transactions
- Understand the concept of transactions in SQL.
- Learn about transaction control commands: COMMIT, ROLLBACK.
- Practice managing transactions.

Day 10: Views
- Learn about views and their benefits.
- Understand how to create, modify, and drop views.
- Practice creating views.

Day 11: Indexes
- Learn about indexes and their role in database optimization.
- Understand different types of indexes (e.g., B-tree, hash).
- Practice creating and managing indexes.

Day 12: Optimization Techniques
- Explore optimization techniques such as query tuning and normalization.
- Understand the importance of database design for optimization.
- Practice optimizing SQL queries.

Day 13: Review and Practice
- Review all concepts covered in the previous days.
- Work on sample projects or exercises to reinforce learning.
- Take practice quizzes or tests.

Day 14: Final Review and Projects
- Review all concepts learned throughout the 14 days.
- Work on a final project to apply SQL knowledge.
- Seek out additional resources or tutorials if needed.


Here are some practical SQL syntax examples for each day of your learning journey:

Day 1: Introduction to Databases
- Syntax to select all columns from a table:

   SELECT * FROM table_name;
  

Day 2: Basic SQL Syntax
- Syntax to select specific columns from a table:

   SELECT column1, column2 FROM table_name;
  

Day 3: Retrieving Data from Multiple Tables
- Syntax for INNER JOIN to retrieve data from two tables:

   SELECT orders.order_id, customers.customer_name
  FROM orders
  INNER JOIN customers ON orders.customer_id = customers.customer_id;
  

Day 4: Aggregate Functions
- Syntax for COUNT to count the number of rows in a table:

   SELECT COUNT(*) FROM table_name;
  

Day 5: Subqueries
- Syntax for using a subquery in the WHERE clause:

   SELECT column1, column2 
  FROM table_name 
  WHERE column1 IN (SELECT column1 FROM another_table WHERE condition);
  

Day 6: Data Manipulation Language (DML)
- Syntax for INSERT to add data into a table:

   INSERT INTO table_name (column1, column2) VALUES (value1, value2);
  

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🔹 Placement Ready in 3 Months! 🔹

1. Month 1: Aptitude
- Quantitative Aptitude, Logical Reasoning, Verbal Ability
- Daily practice and mock tests

2. Month 1 & 2: Course Fundamentals
- OOPS, DBMS, OS, CN, Java, C++
- Study plan and resources

3. Months 1, 2, & 3: Coding
- Data Structures and Algorithms (DSA)
- Practice on platforms like Hackerrank, Codechef, and Leetcode

4. Projects, Skills, and Internships
- Full-stack or ML projects
- Internship experiences and interview prep

5. Month 3: Mock Interviews
- Practice with Pramp and peers

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Ask Questions That Matter!

At the end of an interview, most candidates stick to the standard question, “What are the next steps?”

While this is perfectly fine, it’s a golden opportunity to stand out by asking more thoughtful questions.

📌Here are some alternative questions to consider:

1. Can you describe the team I would be working with?
2. What are the key challenges the team is currently facing?
3. How does this role contribute to the company's overall goals?
4. What opportunities for growth and development does the company offer?

By asking thoughtful questions, you not only gain valuable information but also leave a lasting impression on your interviewers.

So, take a moment to think beyond the basics—your curiosity could set you apart as the ideal candidate!

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Remember, interviews are a two-way street!

📌Synopsys is hiring for Software Engineer
Experience: 0 - 1 years
Expected Salary: 7-15 LPA
Apply here: https://careers.synopsys.com/job/-/-/44408/71068434688?codes=OT

📌MSCI is hiring for Data Engineer (Associate)
Experience: 0 - 1 year's
Expected Salary: 14-25 LPA
Apply here: https://careers.msci.com/job/data/pune/data-engineer-associate/2024-1929?mode=apply&iis=LinkedIn

📌Genrobotics is hiring for Software Engineer Trainee
Experience: 0 - 1 year's
Apply here: https://www.linkedin.com/jobs/view/4046131453/?alternateChannel=search

📌Qualitest is hiring for Grad Engineer
Experience: 0 - 1 year's
Expected Salary: 4-7 LPA
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Siemens DevOps Intern Dubai
Batch: 2026/2025
Apply- https://jobs.siemens.com/careers/job/563156121257488?hl=en&sourceType=PREMIUM_POST_SITE&domain=siemens.com

GrowthX Backend Developer Intern Remote
Batch: 2026/2025/2024
Apply- https://careers.growthx.club/jobs/j_tX343roQZv/backend-developer-intern-remote?ft_source=6000485257&ft_medium=6000436987

Prodigal Product Intern Mumbai
Batch: 2026/2025
Apply- https://boards.greenhouse.io/prodigal/jobs/4534117007?gh_src=9c0ad5d37us

Qualcomm Intern AI and DSP Software Engineering Canada
Batch: 2026/2025
Apply- https://careers.qualcomm.com/careers/job/446702039825?hl=en-US&domain=qualcomm.com&source=APPLICANT_SOURCE-6-2

Vance Frontend Engineering Intern Bangalore
Batch: Not mentioned
Apply- https://jobs.ashbyhq.com/Vance/37db8cde-d51f-4bba-b312-7b729d09bc2d/application?utm_source=r9bA27AdXn

Athena Health Product Engineering Intern Bangalore
Batch: Not mentioned
Apply- https://careers.athenahealth.com/us/en/job/ATHAHHUSR11291EXTERNALENUS/Product-Engineering-Intern?utm_source=linkedin&utm_medium=phenom-feeds

Tower Research ML Intern Gurgaon
Batch: 2026/2025/2024
Apply- https://boards.greenhouse.io/embed/job_app?token=6114125&gh_src=be8ebc4b1&source=LinkedIn

AMD Intern Bangalore
Batch: Not mentioned
Apply- https://careers.amd.com/careers-home/jobs/53068?lang=en-us&iis=Job%20Board&iisn=Linkedin

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Salary: 4.2 - 7.7 LPA (Expected)
Experience: Freshers/ Experienced
Location: Home (Remote)

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🌟 Exciting Career Opportunities in Tech!

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1. Lowe’s
- Role: Associate Software Engineer
- Batch: 2023/2024 passouts
- 👉 Apply Here • https://talent.lowes.com/in/en/job/JR-01854460/Associate-Software-Engineer

---

2. Tata 1mg
- Role: SDE 1
- Batch: 2021/2022/2023 passouts
- 👉 Apply Here • https://1mg.darwinbox.in/ms/candidate/careers/a66fa3db752e44

---

3. Baker Hughes
- Role: Early Career Trainee - Software Engineering
- Batch: 2024 graduates only
- 👉 Apply Here • https://careers.bakerhughes.com/global/en/job/BAHUGLOBALR132004/Early-Career-Trainee-Software-Engineering

---

4. Dream11
- Role: Software Engineer - I
- Batch: 2022/2023/2024 passouts
- 👉 Apply Here • https://jobs.lever.co/dreamsports/93fe293c-f410-481e-93f4-005795c29788

---

5. Justmove.fun
- Role: ML Engineer Intern
- Duration: 2 months
- Batch: 2025/2026 passouts eligible
- Stipend: ₹20,000 - ₹40,000 per month
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---

6. Nestlé
- Program: Nesternship 2024
- Eligibility: All college-going students (core branches)
- 👉 Apply Here • https://www.nestle.in/jobs/students-graduates/nesternship-internship-program

---

7. Razorpay
- Role: Software Development Engineer (SDE)
- Batch: 2021/2022/2023 passouts eligible
- CTC: ₹10 - ₹14 LPA
- 👉 Apply Here • https://cuvette.tech/app/other-jobs/670e8bf911c05ed6de2b88d9?referralCode=8T994D

---

Don't miss out on these tremendous opportunities to kickstart your career in tech! 🚀 Apply now and take the next step towards your professional journey. Good luck! 🍀

Space exploration
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Job Opportunities

1. Dream 11 - SDE 1: Apply for a Software Development Engineer 1 role at Dream 11, suitable for candidates with 0-2 years of experience. Apply here • https://jobs.lever.co/dreamsports/93fe293c-f410-481e-93f4-005795c29788.

2. Synopsys - Software Engineer: This role is for a Software Engineer at Synopsys, specifically for 2024 graduates (2025 graduates can apply, but the chances are very low). Apply here • https://careers.synopsys.com/job/-/-/44408/71068434688?codes=OT.

3. Lowe's - Associate Software Engineer: You can apply for an Associate Software Engineer position at Lowe's. Apply here • https://talent.lowes.com/in/en/job/JR-01854460/Associate-Software-Engineer.

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Must Study: These are the important Questions for Data Analyst ✅



SQL
1. How do you handle NULL values in SQL queries, and why is it important?
2. What is the difference between INNER JOIN and OUTER JOIN, and when would you use each?
3. How do you implement transaction control in SQL Server?

Excel
1. How do you use pivot tables to analyze large datasets in Excel?
2. What are Excel's built-in functions for statistical analysis, and how do you use them?
3. How do you create interactive dashboards in Excel?

Power BI
1. How do you optimize Power BI reports for performance?
2. What is the role of DAX (Data Analysis Expressions) in Power BI, and how do you use it?
3. How do you handle real-time data streaming in Power BI?

Python
1. How do you use Pandas for data manipulation, and what are some advanced features?
2. How do you implement machine learning models in Python, from data preparation to deployment?
3. What are the best practices for handling large datasets in Python?

Data Visualization
1. How do you choose the right visualization technique for different types of data?
2. What is the importance of color theory in data visualization?
3. How do you use tools like Tableau or Power BI for advanced data storytelling?

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