Top Developer Skills Required to Become a Big Data Developer in 2021 IT World
In recent years, we are continuously listening the word ‘Big Data’ due to it’s Higher Demand and High Salary. We can say that growth of the big data is exponential and exceptional, will continue to rule the IT world for the next couple of years to decades. It’s better to start learning these skills to boost your career in IT world.
We are listing some of the must have big data developer skills?
Apache Hadoop
Scala
Python or Java or R or SAS
Apache Spark(Real-time processing framework)
SQL
NoSQL(Hbase/Cassandra/Couchbase/MongoDB)
Visualization Tool(Power Bi/Tableau/QlikView/QlikSense)
Machine Learning Algorithms
Statistical Analysis
Roles and Responsibilities of ‘Big Data Developer’
Some of the important roles and responsibilities of the dig data developer in the Big Data are:
Should work with Hadoop distribution platforms like Hortonworks, MapReduce and Cloudera etc.
Should have full knowledge of Hadoop architecture and HDFS
Have working knowledge of MapReduce, HBase, Pig, Java, and Hive
Working knowledge of design, build, install, configure, and support Hadoop
Should maintain security and data privacy
Should manage and deploys HBase.
High speed querying
Should be the bridge between Data Scientists, Engineers, and the Business Analyst
Create scalable and high performance web services for tracking data
Create and implement data pipelines that perform ETL of data
Happy Learning !!! :)
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