SQL can execute queries, retrieve data, insert or delete records, create tables or stored procedures in a database, and so on. SQL is the most adaptable niche in the market. Switching jobs once you enter the IT industry is not a big deal. The hardest part is at the beginning. But most of the students who are going to begin their career in the database using SQL must be looking for top-paying jobs in databases or SQL-related profiles.
Read on to learn about the various profiles associated with SQL or databases. As per the data found on various job websites, here are the top 10 high-paying jobs that demand SQL. These are discussed below.
What is SQL?
SQL which stands for Structured Query Language, is a programming language designed for managing and manipulating relational databases. software developers and database administrators use it to interact with databases.
SQL allows users to perform various operations on databases, such as querying and retrieving data, updating or modifying existing data, inserting new data, and defining the structure of a database (creating tables, relationships, and stored procedures). SQL is used in various types of database management systems (DBMS) databases as a consistent and powerful means to interact with and manage structured data.
The Top 10 High-Paying Jobs That Demand SQL in 2024
The list below highlights the Top 10 High-Paying Jobs That Demand SQL. These jobs pay well and are in high demand. If you’re good with SQL and want to work with data, keep reading!
1. Data Analyst
SQL is a must if you want to become a data scientist. SQL in data analysis is used for accessing, cleaning, and analyzing data that is stored in databases. Data analysts must be systematically talented to recognize designs within enormous amounts of information. By expository aptitude, we mean comprehension of mathematics, calculations, and statistics. With this, programming and MS Excel skills are mandatory.
The average salary range of a data analyst is ₹ 4,50,000–₹ 12,00,000 per year (entry-level to senior positions).
2. Database Developer
Database developers guarantee that DBMS’s can deal with monstrous amounts of data. Database developers generally deal with software development teams. It requires a high level of knowledge of SQL to pursue this caree
- Modifying and editing databases
- Designing and developing new databases
- Investigating database issues
The average salary range of a database developer is ₹ 5,00,000–₹ 15,00,000 per year (entry-level to senior positions).
3. Database Administrator
A database administrator or database manager takes care of critical obligations as the overseer of an organization’s data. He or she is liable for transforming the crude information into actionable insight. So what does a database administrator do precisely?
- Database installation and configuration
- Data security
- User creation and maintenance
- Database backups and recovery
- Database performance tuning and optimization
- Data transformation and loading
- Reporting and querying
The average salary range of a database administrator is ₹ 4,00,000–₹ 10,00,000 per year (entry-level to senior positions).
4. Data Scientist
A data scientist must have the ability to recover data. They may likewise use SQL to create their very own table or table environment. A data scientist comprehends both business and data. He will apply aptitudes in business, statistics, and data programming to the assortment of data or potentially its refinement, examination, and application to acquire the most primary concern advantage.
The average salary range of a data scientist is as high as ₹ 8,00,000 – ₹ 25,00,000 per year (highly variable based on experience and specialization).
5. SQL Server Developer
The MSSD plays a basic role in the extension of the. Microsoft SQL Server and its related operational applications. He is responsible for different fundamental assignments, for example, doing the exercises identified with database and ETL (Extract, Transform, and Load) to support and propel the Microsoft SQL Server’s operational stage. He takes a shot at the database programming to adequately resolve issues identified with the application.
The average salary range of a SQL Server Developer is ₹ 5,50,000 – ₹ 13,00,000 per year (entry-level to senior positions).
6. Software Developers
A software developer works in both the design and development phases of the creation of software. He will regularly plot out the different parts of the automated errands that will be essential. He plans documentation and flowcharts to help represent the processes of the software.
The average salary range of a software developer can vary depending on a specific development area, but it can be similar to that of a data analyst or database developer.
The average salary range of an Software developer is ₹4,50,000 – ₹12,00,000 per year (Entry-level to senior positions)
7. Software Consultant
Software consultants create a range of database solutions, as given below:
- Database Development Services
- Database Administration and Maintenance Services
- MS SQL Database Troubleshooting
- Database optimization and performance scalability
- Database design while using data modeling tools such as xCase
- Custom reports using MS SQL report services
- SSIS SQL Server Integration Services
The average salary range of a software consultant is ₹ 7,00,000 – ₹ 20,00,000 per year.
8. Dot(.) Net Developer
Data is quickly becoming one of the most significant parts of advancement, and .NET is no special case. . NET developers ought to be knowledgeable in Microsoft’s very own SQL databases as well as rising innovation, for example, NoSQL.
The average salary range of a net developer is ₹ 4,50,000–₹ 12,00,000 per year (entry-level to senior positions).
9. ETL Developer
SQL is the lifeblood of ETL developers and is the mandatory language for them. All aspects of ETL are performed with SQL. There are other query languages that can be utilized, yet SQL is the most well-known for organizations. As a rule, ETL tools are extremely just SQL generators off camera, so it’s imperative to have the option to utilize both interchangeably.
The average salary range of an ETL developer is ₹ 6,00,000 – ₹ 14,00,000 per year (Entry-level to senior positions)
10. Big Data Engineer
Big data engineers work with big data tools like Hadoop, Hive, and so on. To work with these tools, proficiency with SQL is mandatory. SQL Server underpins PolyBase to inquire about big data utilizing T-SQL. You should be a master of SQL Server to implement your database knowledge. After all, you will be dealing with databases, and databases are initiated with SQL.
The average salary range of a big data engineer is ₹ 10,000,000–₹ 30,000,000 per year (highly variable based on experience and expertise).
Conclusion
With the above details, you might have understood now why SQL is a must-have skill for a technical as well as a non-technical individual. SQL enables you to work legitimately with essential information instead of requiring another person to furnish you with composed datasets. This enables you to move faster on strategy, lead projects independently, and become a technical asset to your organization. Learning SQL is not at all challenging! You can produce incredible queries from unlimited permutations of the SQL statements. Keep in mind that the most ideal approach to bonding the ideas and showing signs of improvement in SQL is by rehearsing and tackling SQL issues. You can discover increasingly intuitive activities by going through SQL Server training and tuning your SQL career.
“The more you practice, the better you’ll be, and the harder you train, the extraordinary in you they’ll see.” Alcurtis Turner.
FAQs on Top 10 High Paying Jobs That Demand SQL in 2024
Why is SQL important in the IT industry?
SQL is super flexible and can do many things in databases, making it essential for high-paying jobs in IT.
What does a Database Administrator (DBA) do?
Database Administrator (DBA) take care of important tasks like setting up databases, keeping data safe, managing users, doing backups, and making sure databases work well.
How important is SQL for a Data Scientist, and what else do they need to know?
Data scientists use SQL to work with data. Besides that, they need to be good at math, algorithms, and statistics and know how to use tools like MS Excel. They should understand both business and data for better insights.
