Big Data Offers High Paying Jobs

While there are other important issues CIOs are facing, integration and Big Data will likely be at the top of their list of issues that impact how their company responds to changing customer needs. With that in mind what are some of the best paying jobs these CIO’s will be looking to fill? As you can see from this list understanding Hadoop is important. It is also important to know that the current inventory for this set of skills is well below the current demand and the gap will continue to rise. This list is not all inclusive and is ranked low to high in salary but all fall between $120K and $130K. I suggest if you like technology and want to be at the forefront of business change it is worth your time to do a little due diligence.

Apache Hadoop, the open source platform for distributed storage, has caught on for big data projects across the globe. Hadoop providers like Cloudera, Hortonworks, and MapR technologies have rapidly growing customer bases. And that has created a strong need for Hadoop experts across the corporate IT, consulting and service provider landscapes. The average salary for a true Hadoop professional is $121,313.

Apache Flume allows businesses to collect, aggregate and move massive amounts of log data. Its particularly popular for moving data into a Hadoop cluster for big data deployments. The average salary for a true Flume professional is $123,186.

Chef is a configuration management tool that makes it easier to manage servers. It can integrate with public cloud systems like Rackspace, Amazon EC2, Google Cloud Platform, OpenStack and Microsoft Azure. The average salary for a true Chef professional is $123,458.

ABAP (Advanced Business Application Programming), created by SAP, works with numerous SAP applications. More recently, SAP has brought ABAP and SAP HANA together with features that give developers the best of both worlds, the company claims. Demand for ABAP skills remains high, with a true ABAP professional earning an average salary of $124,262.

Apache Pig is a platform for analyzing large data sets. Pig is known for ease of programming, optimization opportunities and extensibility. The average salary for a true Pig professional is $124,563.

HBase is an open source, non-relational, distributed database modeled after Googles BigTable and written in Java. Its part of the Apache Hadoop project. It provides fault tolerant storage and quick access to large quantities of sparse data. The average salary for a true HBase professional is $126,369.

Cloudera is a version of Apache Hadoop that targets enterprise-class big data projects. Three former engineers from Google, Yahoo and Facebook joined with a former Oracle executive to launch the company in October 2008. The company raised $900 million in early 2014 backed by Google Ventures, Intel and other big names. The average salary for a true Cloudera professional is $126,816.

MapReduce is a programming model for processing and generating large data sets on a cluster. Like many of the skill sets on this list, its closely associated with the big data boom. Its useful for such apps as web access log stats, machine learning and statistical machine translation, among others. The average salary for a true MapReduce professional is $127,315.

Apache Cassandra is a NoSQL database system designed to handle large amounts of data across commodity servers. It offers high availability with no single point of failure. The NoSQL clusters can span multiple datacenters. The average salary for a true Cassandra professional is $128, 646.

Platform as a service (PaaS) allows customers to develop, run and manage applications in the cloud without needing to build or maintain the underlying infrastructure. Not by coincidence, a growing number of big data applications are deployed atop PaaS clouds. The average salary for a true PaaS professional is $130,081.

The list of jobs came from this link.