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Data engineering is all about the practical aspect and application of the data that has been collected for analysis. It basically involves getting the data ready for the use of Data scientist. So all the mechanism for collection, use, validation of the data that is required to be analyzed happens and comes from data engineering.

• The field of data science is broad and vast which begins from simple task of data clean ups to creating complicated models and prototypes. But a data scientist doesn't operate alone, there are data analysts and engineers working behind to make things clear and simple.
• Data engineer needs to build a reliable and dependable pipeline to transform the data into more usable form for the use of data scientists
• They should be able to combine the data sources and architect the data stores.

Work closely and collaborate with data scientist Team to identify solutions to their issues. If you want to know more information about data engineering then you can buy assignment online on data engineering from our professionals.

Types of Data Engineer Roles

In an organization a data engineer plays various roles and takes care of various responsibility. Depending upon the organizations set up and the situations the role of data engineer varies

• Generalist role is one of the basic role that a data engineer typically takes. Here the data engineer is a critical member of the team. A generalist Data engineer does everything from m ingestion of the data to its processing to making it available.
• Pipeline centric Data engineer works in mid-size companies where there is complex data science. Here a data engineer works in coordination with the data scientist Team to make things work. In this environment a data engineer might also be asked to build a tool that fetches desired information or metadata.
• Database centric is also another role where he is responsible for setting up database analytics. This involves little bit of pipeline work but more of database analysis. Such role of data engineer exists in bigger organizations.

Overall a data engineer works and runs behind the scenes to ensure everything in the front is Upto the mark. They need to be technology proficient especially with data platforms, relational database, SQL, workflow tools, connectors etc. They need to ingest the data from various data sources keeping in mind the different formats etc and the ability to extract without any errors. Doing data warehousing which is storing the data in required form. Also enabling data analytics on the stored data.

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