What is an Entry Level Big Data Hadoop Developer Job?
An entry level big data Hadoop developer job is a position that involves the development and maintenance of big data applications using the Hadoop framework. Hadoop is an open-source software framework used for storing and processing large volumes of data across clusters of commodity hardware. The job entails working with Hadoop technologies such as HDFS, MapReduce, and Hive to manage and analyze data.
What Usually Do in This Position?
The main responsibilities of an entry level big data Hadoop developer include developing and testing Hadoop applications, maintaining Hadoop clusters, and troubleshooting issues related to Hadoop applications. In addition, they are responsible for designing and implementing data ingestion processes, data processing pipelines, and data storage solutions using Hadoop technologies. They may also be involved in developing and maintaining data visualizations and dashboards.
Top 5 Skills for the Position
- Strong programming skills in Java, Python, or Scala
- Experience with Hadoop technologies such as HDFS, MapReduce, and Hive
- Knowledge of SQL and NoSQL databases
- Experience with data ingestion, processing, and storage
- Understanding of distributed computing concepts
How to Become This Type of Specialist
To become an entry level big data Hadoop developer, one typically needs a bachelor's degree in computer science or a related field. In addition, it is important to have experience with programming languages such as Java, Python, or Scala, as well as knowledge of SQL and NoSQL databases. It is also helpful to have experience with data ingestion, processing, and storage, as well as an understanding of distributed computing concepts.
Average Salary
The average salary for an entry level big data Hadoop developer in the United States is around $85,000 per year. However, salaries can vary depending on factors such as location, experience, and company size.
Roles and Types
There are different roles and types of big data Hadoop developer jobs, such as:
- Hadoop Developer
- Data Engineer
- Big Data Architect
- Data Scientist
Each of these roles has different responsibilities and requires different skills and experience.
Locations with the Most Popular Jobs in USA
The most popular locations for big data Hadoop developer jobs in the United States are:
- San Francisco, CA
- New York, NY
- Washington, DC
- Boston, MA
- Chicago, IL
These locations have a high demand for big data Hadoop developers due to the presence of large technology companies and startups.
What Are the Typical Tools
The typical tools used by big data Hadoop developers include:
- Hadoop Distributed File System (HDFS)
- MapReduce
- Hive
- Pig
- Spark
- Kafka
- HBase
- Cassandra
- MongoDB
- SQL and NoSQL databases
- Data visualization and dashboard tools
In Conclusion
An entry level big data Hadoop developer job is a position that involves the development and maintenance of big data applications using the Hadoop framework. To become a specialist in this field, one typically needs a bachelor's degree in computer science or a related field and experience with programming languages, databases, and distributed computing concepts. The average salary for this position is around $85,000 per year, and the most popular locations for big data Hadoop developer jobs in the United States are San Francisco, New York, and Washington, DC.