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Data engineers are professionals who are responsible for collecting, cleaning, organizing, storing and analyzing data. They usually need to have solid programming skills, database knowledge and a deep understanding of big data technology. As data-driven decision-making Email List becomes increasingly important, the demand for data engineers is also increasing.
ETL development: Develop ETL (Extract, Transform, Load) processes to extract, transform and load data.
Data platform construction: Build big data platforms such as Hadoop, Spark, etc.

Data governance: responsible for data quality management, data security, data access control, etc.
Skills required for a data engineer
Programming skills: Proficient in Python, SQL, Java and other programming languages.
Big data technology: Familiar with big data technologies such as Hadoop, Spark, Hive, and Kafka.
Database knowledge: Familiar with relational databases (MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
Cloud computing platform: Understand cloud platforms such as AWS, Azure, and Google Cloud.
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