ETL DEVELOPER

ETL developers are in charge of extracting and replicating company data and loading it into a data warehousing environment that they have created. They must have both design and programming abilities because they are also in charge of evaluating the system's performance and fixing any issues before it goes live. The SQL and ETL developers are both heavily involved in processing and managing data/databases. But the difference between the two is that an SQL developer has expert knowledge of the SQL programming language while the ETL developer is highly experienced with the ETL process. ETL stands for extract, transform, and load and is a traditionally accepted way for organizations to combine data from multiple systems into a single database, data store, data warehouse, or data lake. ETL developers are a part of the data engineering team. They are mainly responsible for performing the ETL process, i.e., extract, transform, and load functions while data moves from source to target location. Data engineers are responsible for designing and maintaining data pipelines and infrastructures. Traditionally, the ETL process has been hard-coded. Programmers set instructions to extract data from its source, transform it into a usable format for analytics, and load the transformed data into the appropriate target system such as a data warehouse. Python ETL Tools are the general ETL Tools written in Python and support other Python libraries for extracting, loading, and transforming different types of tables of data imported from multiple data sources like XML, CSV, Text, or JSON, etc. into Data Warehouses, Data Lakes, etc.