Big Data Tools Data Security ETL Tools MongoDB 
Knowledge Hut
DECEMBER 26, 2023
They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.
Knowledge Hut
NOVEMBER 17, 2023
Azure Services You must be well-versed in a variety of Azure services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Analysis Services, Azure Stream Analytics, and Azure Data Lake Storage, in order to succeed as an Azure Data Engineer.
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Knowledge Hut
SEPTEMBER 26, 2023
To ascertain and address data requirements, they engage with business stakeholders. In order to satisfy company demands, they are also in charge of administering, overseeing, and guaranteeing data security and privacy. Programming languages like Python, Java, or Scala require a solid understanding of data engineers.
Edureka
FEBRUARY 9, 2023
Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques. Learn about popular ETL tools such as Xplenty, Stitch, Alooma, and others. To store various types of data, various methods are used.
ProjectPro
JANUARY 19, 2022
ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. Different methods are used to store different types of data.
ProjectPro
JULY 27, 2021
Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.
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