Big data engineers design, develop, test, and maintain Big Data solutions for businesses. Their job is to collect large amounts of data from various sources and ensure that downstream users have quick and efficient access to the data. Big data engineers, in essence, ensure that the company’s data pipelines are scalable, secure, and capable of serving multiple users. Therefore, career as Big Data Engineer has a huge scope in future.
Contents
Some of the advantages of becoming a career as Big Data Engineer are as follows:
Some of the requirements to start career as Big Data Engineer are as follows:
The candidate should have a bachelor’s degree in computer science or computer engineering.
Prior experience as a big data engineer is required.
Thorough understanding of Hadoop, Spark, and similar frameworks.
Understanding of scripting languages such as Java, C++, Linux, Ruby, PHP, Python, and R.
Understanding of NoSQL and RDBMS databases, such as Redis and MongoDB.
Knowledge of Mesos, AWS, and Docker tools.
Strong project management abilities.
Effective communication skills.
The ability to troubleshoot and resolve complex networking, data, and software issues.
Responsibilities of a Big Data Engineer:
Consultation with managers to determine the company’s Big Data requirements.
Creating Hadoop systems.
Using Hive or Pig to load disparate data sets and perform pre-processing services.
Finalizing the system’s scope and delivering Big Data solutions
Supervising communication between the internal system and the survey vendor.
Working with software research and development teams.
Development of cloud platforms for company applications.
Upkeep of production systems.
Data resource management training for employees.
Data Engineer: Data engineers use a variety of tools and techniques to build frameworks that prepare data for use by data scientists. Data engineers frequently use Python, Java, R, and C++ as coding languages.
Some of the skills or knowledge required for Data Engineering jobs are as follows:
Database tools.
Data transformation tools.
Data ingestions tools.
Data mining tools.
Data warehousing and ETL tools.
Real-time processing frameworks.
Data buffering tools.
Machine learning skills.
Cloud computing tools.
Data visualization skills.
Requirements for Data Engineering:
A bachelor’s degree in data engineering, big data analytics, computer engineering, or a closely related field is required.
A master’s degree in a relevant field is preferred.
Proven experience as a data engineer, software developer, or other related field.
Extensive knowledge of Python, C++, Java, R, and SQL.
Knowledge of Hadoop or a suitable equivalent.
Superior analytical and problem-solving abilities.
Capability to work independently as well as in groups.
Strict adherence to responsibilities.
The ability to successfully manage a task pipeline with minimal supervision.
Responsibilities of a Data Engineer:
Communicate with coworkers and clients to clarify the requirements for each task.
Developing and conceptualizing infrastructure for accessing and analyzing big data.
Restructuring existing frameworks to improve their performance.
Testing such structures to ensure their suitability for use.
Preparing raw data for data scientists to manipulate.
Identifying and correcting mistakes in your work.
Making certain that your work is backed up and accessible to relevant coworkers.
Staying current on industry standards and technological advances that will improve the quality of your outputs.
The above job profile and their salaries per annum in India is summarized in the table given below:
Job Profile | Average Salary Per Annum |
Big Data Engineer | ₹7,82,465 |
Data Engineer | ₹8,96,923 |
Note: Please keep in mind that the above-mentioned salaries may differ depending on where you live.
The above job profile and their salaries per annum in other countries is summarized in the table given below:
Country | Big Data Engineer average annual salary | Data Engineer average annual salary |
United Kingdom | £65,000 | £40716 |
United States | $1,04,463 | $136,051 |
Australia | $75,000 | $122,460 |
Switzerland | CHF 113,633 | CHF 1,10,606 |
Note: The above given salaries may change according to change in location in their own countries.
Conclusion
In the above article we have learned in details about the job profile of both Big Data Engineer and Data Engineer. We also learned about their annual salaries in India and the other four countries. Both career as Big Data Engineer and career as Data Engineer has a huge scope in future.
FAQs regarding Big Data Engineer:
Big data engineers are also known as data scientists, statisticians, and computer and information research scientists.
The annual salary for an entry-level Big Data Engineer is around Rs. 466,265. The average salary for an early-career Big Data Engineer or Junior Big Data Engineer (1-4 years of experience) is Rs. 722,721 per year. The annual salary of a mid-career Big Data Engineer or Lead Big Data Engineer (5-9 years of experience) is Rs. 1,264,555.
A big data engineer is a professional in information technology (IT) who is in charge of designing, building, testing, and maintaining complex data processing systems that work with large data sets.
Big data is a rapidly expanding field with exciting opportunities for professionals from all industries and all over the world. With the demand for skilled big data professionals on the rise, now is an excellent time to enter the workforce.
Today, the primary distinction between these two types of data professionals is that data engineers design and maintain the systems and structures that store, extract, and organize data, whereas data scientists analyze that data to forecast trends, gain business insights, and answer pertinent organizational questions.
Knowing how to code is an essential skill for any Big Data analyst. You must code in order to perform numerical and statistical analysis on large data sets. Python, R, Java, and C++ are just a few of the languages you should spend time and money learning.
Hi, I Surendra Gusain founder-director DOTNET Institute with 21-year experience in computer training and 3+year experience in digital marketing as a YouTuber, Blogger, and Trainer or coach.
