Big Data Engineer

The person that is in charge of the design and development of data pipelines is known as a Big Data Engineer. They are the brains behind the data collection from various sources, and these are sets of organized data for analysts and data scientists. Big Data Engineers are considered to be in demand, and they are. On the FieldEngineer.com platform, there is a range of options for a Big Data Engineer, including the details of the salary for a Big Data Engineer.

Big data engineer jobs are highly sought after, and big data engineers have years of experience and extensive technical knowledge. If you plan to be a big data engineer, you will need to have a Bachelor’s degree in computer science, software engineering, mathematics, or a different IT degree. Alongside the degree, a big data engineer needs to have a range of technical skills and knowledge to ensure that they can be successful in their role. So, from SQL, Python, and a variety of cloud platforms, the right knowledge can help an aspiring big data engineer succeed.

Once your degree is achieved, there are a number of certifications that you can earn to continue your education. Before you can apply for the right big data engineer jobs, a knowledge of the Data Science Council of America is a must, as it can allow you to earn the correct certifications to succeed in the role. There are plenty of ways you can build your big data engineer skills, and it starts with knowing which skills to hone.

To understand the role of a big data engineer, you need to understand that big data is an extensive collection of information that the traditional software options are not equipped to handle. The traditional data collection can be well structured while big data comes in unstructured. Big data engineers come in by using a range of their technical skills to get the job done.

Big data engineers are skilled as software developers, and they have to be proficient in coding, an excellent data scientist, and an engineer all at the same time. This is a multi-faceted role, and any big data engineer could find themselves performing a range of tasks on any day of the week. Identifying, extracting, and delivering data in a usable format. This data is then given to others to evaluate. While a big data engineer is working, they have to ensure that the data they extract is valid. On any given day, a big data engineer could deal with cloud computing environments, assist in documenting any requirements, resolve ambiguities in the data, and more.

There are specific responsibilities that are expected of a big data engineer. Not only will you need to have a Bachelor’s degree as mentioned earlier, but you will also need to have the right knowledge of big data technology, communicate these ideas within a team, and know how to deal with commercial IT infrastructures. Expertise in Parallel Processing Databases, as well as scripting languages, are a must. Other responsibilities include:

• Familiarity with NoSQL solutions as well as Cassandra, HIVE, CouchDB, and HBase.
• Big data technology knowledge in Hadoop, MapReduce, and Streaming
• Working access to commercial platforms in big data technologies, such as IBM or Oracle
• Working proficiency in Analytics, OLAP technologies, and more.
• Experience in agile development methodologies is a must
• Sound communication skills - both written and verbal - are necessary when dealing with a team of engineers
• The ability to multi-task with no supervision is preferred for many employers

FieldEngineer.com has the biggest platform for big data engineers to find suitable roles. It is also the perfect solution for employers looking for a way to hire new engineers. With the right big data engineer skills listed above, finding a new role will not be difficult. The most important aspect of finding big data engineering jobs is knowing you are working hard to appeal to a range of employers. Being correctly educated and certified is essential for such a varied role!

As mentioned above, big data engineers are coveted, and their compensation package reflects this. An average of $131,000 per year is the salary for a big data engineer, and it can vary from state to state.

Check out FieldEngineer.com today for more information on big data engineer jobs and apply today.

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