A Big Data Engineer is the most discussed job profile which is in great demand. It is the best career option for you if you are inclined towards Big Data and want to make it big in this field. The salary of these professionals is much higher than most job profiles in this industry.
Did it ever cross your mind how does a particular company utilize the data it collects from various sources? How do they convert it into a valuable asset for the company and how do they develop plans to use this collected data? Then this field of Big Data Engineering will satiate your curiosity.
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It is a huge field in India that offers ample opportunities in aspects of data collection, data processing and much more.
What is Big Data?
The data generation has increased by massive amounts due to the development of different social media platforms and multinational companies all over the world. A report by IDC states that this data is expected to reach 175 zettabytes by 2025.
Along with the volume of data, its velocity is also increasing. This massive data is called Big Data that is the data in different formats like structured, semi-structured and unstructured data that is difficult to process, store, analyze.
Who is a Big Data Engineer?
A Big data engineer uses various frameworks like Hadoop, Spark, Cassandra and Apache Storm for handling Big Data.
These professionals are responsible for developing, testing and evaluating the Big Data infrastructure of a company into data that is best fit for analysis thereby directing the growth of a company.
Big data engineering is the study of the design and development of pipelines for data transformation and transportation into usable states for data scientists and other end users.
What does a Big Data Engineer do?
- Build a data landscape for data scientists by utilizing available technologies and data.
- Design and implement the software systems along with their management and verification.
- Building robust systems for ingestion and data processing.
- Carry out ETL (Extract, transform and Load) operations and processes.
- Researching various techniques for data collection and improving its quality.
- Build efficient business models by data mining.
- Build data architectures according to business specifications.
- Integrate various programming languages and tools for building a structured solution.
- Collaborate with data scientists, data analysts and different teams.
Required Skills
A Big Data Engineer should be proficient in various programming languages, databases and data processing tools. Some of the necessary skills are:
- Machine Learning.
- Databases and SQL.
- ETL and data warehousing.
- Operating systems like Linux, Unix, Windows and Linux.
- Data modeling and Mining.
- Apache Spark.
- Big data tools like Hadoop, Spark and Kafka tools and frameworks.
- Programming languages like Python, Scala and Java.
- Cloud Computing.
- Distributed Systems.
- Data Pipelines.
How to become a Big Data Engineer?
- Completion of 10+2 in Math, physics and chemistry from a recognized board.
- Qualify the entrance exams conducted by universities like JEE mains, JEE advanced for admission into their bachelor programs.
- Pursue bachelor in computer sciences, software engineering, physics, information technology or applied math.
- Fulfil the needed skill set mentioned in the skills required section.
- Undergo certifications to spice up your chances for obtaining a job like:
- CCP Data Engineer
- IBM Certified Data Architect – Big Data
- Google Cloud Certified Data Engineer
- Big Data Master’s Program from Simplilearn.
- A real-world experience since most of the entry-level big data engineer jobs demands experience. These can be roles like data analysts or data scientists, in software development or as an intern in a related field and building up a portfolio of sample projects.
Salary and Job Outlook
Since the amount of data generated every day is massive, the demand for skilled and qualified Big data engineers is also increasing. According to Forbes, Big Data Engineer is the top emerging field by LinkedIn.
These professionals have to regularly update themselves since their job is extremely complex and requires them to be on par with new skills and knowledge of the latest technologies.
The Big Data Engineers’ salary is dependent on three main factors like Geographic location, experience and skillsets.
According to Glassdoor, the average yearly salary of a big data engineer in India is INR 856,643 and in the United States, it is $100,148 yearly.
In India, the big data engineers are paid the highest salary in Chennai with INR 1,171,000 per annum followed by Hyderabad INR 946,000 yearly.
A Big data engineer salary is lucrative since they are required to design data pipelines, build and optimize the entire system. This job is really challenging since you are dealing with big data.
– Samiya Firdous
