What is Data Engineering ??

What is Data Engineering?

Data engineering is the process of designing, building, and maintaining the infrastructure and systems that are used to store, process, and analyze data. Data engineers work closely with data scientists and analysts to ensure that the data is accurate, accessible, and can be effectively used to drive business decisions.

What is the skill set required for a Data Engineering job ?

1. Programming skills: Python or Java and SQL
2. Database management: Knowledge of relational and non-relational databases, such as MySQL, PostgreSQL, MongoDB, and Cassandra
3. Big Data technologies: Hadoop, Spark, and Kafka, is necessary for processing and analyzing large data sets.
4. Cloud Computing: Knowledge of cloud-based platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)
5. Data modeling: Understanding data modeling concepts and techniques, including data warehousing, data integration, and data governance
6. Data warehousing: Data warehousing and ETL(Extract, Transform, and Load) skills are necessary for integrating data from multiple sources and making it available for analysis.
7. Data visualization: Tableau and Power BI to create visual representations of data and communicate insights to stakeholders.
8. Collaboration and Communication: Data engineers need to be able to work effectively with data scientists, analysts, and other stakeholders to understand their needs and design systems that meet those needs.