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They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQLDatabases like MongoDB, Cassandra, and HBase. They need deep expertise in technologies like SQL, Python, Scala, Java, or C++. They are also responsible for testing databases to ensure reliable operation.
Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, databasedesign, and cloud computing to start your career in data engineering. You can also post your work on your LinkedIn profile.
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