What is an sr hadoop developer jobs?
An Sr Hadoop Developer is a skilled professional who is responsible for designing, developing, and maintaining complex Hadoop applications. Hadoop is an open-source software framework that is used to store and process large volumes of data in a distributed manner. The role of an Sr Hadoop Developer is to build and maintain Hadoop applications that are capable of processing and analyzing massive amounts of data.
What usually do in this position?
An Sr Hadoop Developer typically works on designing, developing, testing, and maintaining Hadoop applications. They also collaborate with other team members to ensure that the applications are scalable, reliable, and efficient. The Sr Hadoop Developer is responsible for working with large and complex data sets and performing data mining, analysis, and visualization to extract meaningful insights and deliver actionable results.
Top 5 skills for the position
- Strong programming skills in Java, Python, or Scala
- In-depth knowledge of Hadoop ecosystem components such as HDFS, MapReduce, Hive, Pig, Sqoop, Flume, and Oozie
- Experience with database technologies such as MySQL, Oracle, and NoSQL databases like Cassandra and MongoDB
- Excellent analytical and problem-solving skills
- Strong communication and collaboration skills
How to become this type of specialist?
To become an Sr Hadoop Developer, you need to have a bachelor's or master's degree in computer science, information technology, or a related field. You also need to have experience working with Hadoop ecosystem technologies and programming languages such as Java, Python, or Scala. You can gain experience by working on projects or contributing to open-source Hadoop projects. Participating in Hadoop-related conferences, workshops, and online courses can also help you stay up-to-date with the latest trends and technologies.
Average salary
According to Glassdoor, the average salary for an Sr Hadoop Developer in the United States is around $125,000 per year. However, the actual salary can vary based on factors such as location, company size, and years of experience.
Roles and types
An Sr Hadoop Developer can work in various roles such as Hadoop Developer, Hadoop Administrator, Hadoop Architect, and Hadoop Data Scientist. Each role has its own specific responsibilities and requirements. Hadoop Developers focus on designing and developing Hadoop applications, while Hadoop Administrators are responsible for maintaining and managing Hadoop clusters. Hadoop Architects design and implement Hadoop solutions, and Hadoop Data Scientists use Hadoop to analyze and extract insights from large datasets.
Locations with the most popular jobs in the USA
The most popular locations for Sr Hadoop Developer jobs in the USA are California, Texas, New York, Virginia, and Illinois. These states have a high concentration of technology companies that require skilled professionals to work on Hadoop-related projects.
What are the typical tools?
An Sr Hadoop Developer uses a variety of tools and technologies to design, develop, and maintain Hadoop applications. Some of the most popular tools include Hadoop Distributed File System (HDFS), MapReduce, Hive, Pig, Sqoop, Flume, and Oozie. Other tools include Apache Spark, Apache Storm, HBase, Apache Kafka, and Apache Flink.
In conclusion
An Sr Hadoop Developer is a highly skilled professional who plays a critical role in designing, developing, and maintaining Hadoop applications. They need to have a strong understanding of Hadoop ecosystem technologies, programming languages, and database management systems. With the increasing demand for big data processing and analysis, the Sr Hadoop Developer role is becoming more important in the technology industry.