Career in Spark

Introduction to Career in Spark

In this Topic, we are going to learn about Careers in Spark. As Spark here referred to as Apache Spark. It is an open source. It was developed by apache software foundation, AMP lab. It was designed by Mateizaharia. It was initially released in the year 2014. It was written in Scala, Java, R, and Python. It supports different Operating systems like Microsoft Windows, macOS, and Linux. It is based on type is data analytics and machine learning algorithms.

Spark is a computing framework and it provides an interface for programming. It can be used to perform batch processing and stream processing. Spark can be integrated with Big data tools. Spark can access the Hadoop data source and other features or tools as well. Apache Spark has different components such as Spark core, Spark SQL, Spark Streaming, Spark MLlib, Spark GraphX, and SparkR. There are many specific features for Spark like Swift processing, Reusability, dynamic in nature, and cost-efficient etc.

Education Required for Career in Spark

The education required for the learning apache spark is one should have a bachelor’s degree in computer programming. An individual should know the basic concepts of programming language. The knowledge in the basics of Java programming is highly recommendable before start with spark system. Spark can be learned through online portals and online videos.

Spark is used in the top organization of the world. It is considered the third generation of a big data world. So, the learning of Spark opens new career opportunities. Yes, it will take time to learn as it is having a great learning curve and having many components to do hands-on. Spark is being used in Microsoft to Azure cloud. Amazon uses apache spark to run the apps. IBM uses spark to manage the system Machine learning language. A spark in yahoo is used to analyze big data.

Career Path in Spark

The career path for Apache spark is based on the industry and the organization that is using or moving towards spark framework. The top companies like Alibaba, Hitachi etc. are adopting the spark in a serious manner and mainly work on this framework. The batch jobs are mainly processing the data are developed in spark and large data sets are being processed.

The different sectors or industries are mainly hiring the spark developers like retail, finance, telecommunication/networking, banking, software or IT, Media and entertainment, Consulting, Healthcare, Manufacturing, Professional and technical services. The data is mainly engaged more than 50% in spark framework and stream processing required good support. There are some really good opportunities available in the above-mentioned industries already and in future, it will be in increasing order only as a spark is enhancing productivity and time and effort as well.

Job Positions or Application Areas For Career in Spark

There are many job position or application areas for Spark developer. One can apply to the job position according to the skill and experience level. The different job positions are Software Developer, Systems Engineer, System Architect, System analysts, Big data developer, the lead software engineer in big data, data scientist, data engineer, IT project management, Management analyst etc.

The job opportunities have been increased lot in recent time and some of the opportunities are also in the Research and development area as well. The other job opportunities or role that is available in the organization such as research analysis, data visualizers etc.

Salary

The salary for the spark skill computer programmer is the same salary structure as for the big data developers or engineers. The average salary or the range for the spark developer started from 95k USD to 100k USD per year depending on the skill and experience. The senior engineer role in this technology is getting a good salary of around 135k USD to 145k USD per year. The big data professionals are mainly getting about 120k USD per year.

The salary of the spark developers or programmers is way higher than other programmers or professionals. The salary of data engineer is expected around 105k USD per year and for the data scientist, it is around 115k USD per year. The salary data is the main basis on the survey has done form the engineer or the organizations. The salary of spark developers expected to increase as it is relatively new and people are less and the demand of these developers are increasing constantly.

Career Outlook in Spark

The career outlook for the spark developer is good. As it has been observed that demand for growth in a job at entry level position like software developer has been increased rapidly across the global organizations. The mid-level position or developers demand of job opportunities is also increasing at good pace, which helps individuals to achieve their financial growth and settled their career in the same technology.

For this skill, freelancing projects are available on different websites that help an individual to start and able to get good earning while doing work from home or in comfort area. These freelancing jobs are really giving good salary to spark developers because the developer community is less and there is a lot of demand of these developers out there. It is better to learn this and start your career in Spark as it will be one of the trending skill in future that is required for the different organizations.

Conclusion

Apache Spark is having a lot of features to offer and is mainly compatible with all the platforms, so the apache spark framework can be used for different OS. It is meant as one of the advanced product which helps in providing the feature to work with data streaming. It can be used for machine learning, and easily worked on structured data and unstructured data. It also deals with the map, graphs, data frame, and dataset etc.

Apache spark provides the reusability of code, supporting multiple languages and mainly it is less costly. It also simplifies the graph analytics task. It is having fewer developers in a community but they are active and progressive. It is correct that in beginning it would be difficult to learn the framework or the technology but in future, the career in spark is great in terms of salary and job opportunities.

Recommended Article

This has been a guide to Career in Spark. Here we have discussed the introduction, education, career path in Spark along with salary and career outlook in Spark. You may also look at the following article to learn more –

1. Careers in Artificial Intelligence
2. Careers in Linux Administration
3. Careers in R Programming
4. Types of Joins in Spark SQL (Examples)
5. Overview and Top 6 Components of Spark