Big Data Developers
Big data developers are proficient in core scripting languages and responsible for the actual coding or programming of big data applications. They deal with data that does not fit into a single machine and cannot be processed using traditional methods. The role is somewhat similar to software development. Most big data developers work closely with big data engineers and big data scientists to facilitate the big data needs of an organisation.
What does a Big Data Developer do?
Big data developers usually work on Hadoop applications. Some of their common responsibilities are:?
- Designing, building, installing, configuring and supporting big data applications Maintaining security and data privacy?
- Creating scalable and high-performance web services for data tracking
- Analysing vast data stores and finding useful insights
- Hadoop development and implementation
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What are the skills associated with Big Data Development?
If you want a successful career in Big Data Development, the following skills are required:?
- Good knowledge of programming languages like Java, JS, Node.JS and other object-oriented languages
- Understanding of Hadoop and its popular modules like?Hbase, Pig, Flume,?Hive, Impala,?Spark, Storm, etc.
- Knowledge of database structures and its development
- High-level analytical and problem-solving skills
- Good aptitude in multi-threading and concurrency concepts
What are the advantages of becoming a Big Data Developer?
One of the most popular questions is that how can switching to a big data developer position can be beneficial for a professional. Here are some of the reasons:?
- For software developers or UI developers, big data developer can be a level up in terms of salary for most professionals.
- As big data development is a growing field with scope for high growth, the career growth can also be good as compared to software development.
- Those who have an analytical bent of mind and is looking for more challenges, big data development can reap a lot of benefits and help you in your professional growth.
- Due to the high demand for big data professionals, the chances of getting a better package is higher than traditional data jobs.