Data Engineering

Data engineers use many different tools to work with data. They use a specialized skill set to create end-to-end data pipelines that move data from source systems to target destinations.

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Data engineers work with a variety of tools and technologies and we can source the experts with the following Tools and Technologies - 

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ETL Tools: ETL (extract, transform, load) tools move data between systems. They access data, then apply rules to “transform” the data through steps that make it more suitable for analysis.

SQL: Structured Query Language (SQL) is the standard language for querying relational databases.

Python: Python is a general programming language. Data engineers mostly choose to use Python for ETL tasks.

Cloud Data Storage: Amazon S3, Azure Data Lake Storage (ADLS), Google Cloud Storage, etc.

Query Engines: Engines run queries against data to return answers.