Question

What are the roles of a Big Data Engineer?

Answer 1

These are some typical roles and responsibilities of a Big Data Engineer:

• Selecting and integrating Big Data tools and frameworks.
• Implementing ETL process
• Monitoring performance and advising any necessary infrastructure changes
• Defining data retention policies
• Management of Hadoop cluster
• Building stream-processing systems
•  Integration of data from multiple data sources

Answer 2

• Statistical analysis and modeling
• Database architectures
• Hadoop-based technologies (e.g. MapReduce, Hive and Pig)
• SQL-based technologies (e.g. PostgreSQL and MySQL)
• NoSQL technologies (e.g. Cassandra and MongoDB)
• Data modeling tools (e.g. ERWin, Enterprise Architect and Visio)
• Python, C/C++ Java, Perl
• MatLab, SAS, R
• Data warehousing solutions
• Predictive modeling, NLP and text analysis
• Machine learning
• Data mining
• UNIX, Linux, Solaris and MS Windows

Comments

Hello @meghanaa madam. Machine Learning is a separate domain, right? Then why is it included in Data Engineer roles?

Answer 3

Big Data Engineer is mainly responsible for these things:

• Development of Hadoop
• processing data using hive and pig
• manage production systems such as Hadoop, Kafka, Cassandra etc. 

Answer 4

A Big Data Engineer is responsible for the Databases and Data Processing Systems of the Organization. Designing, implementing and maintaining the Database is mainly the task of the Big Data Engineer.

Answer 5

Adding to the above answers, a Data Engineer will also have to decide which architecture is more appropriate and also find a solution for unstructured data problems.