Big Data Engineer Salary - How Much Can You Expect As A Big Data Engineer

A Big Data Engineer is a great career option for all those who want to build their career in the field of Big Data. It is the most demanding job position one can have as it opens up the high-performing industries' platforms. Here in this article, we will discuss the Big Data Engineer salary and how much one can expect as a Big Data Engineer.

Who is a Big Data Engineer?

A Big Data Engineer is responsible for designing, building, maintaining, testing, analysing, and evaluating the company’s data processing systems. They play a significant role in collecting data from various sources that act as the sets of organised data used by analysts and data scientists. Their work includes data processing systems and databases to extract the data and change it into workable sets for improving the organization’s growth.

What is Big Data?

Big Data Analytics is a collection of complex data sets that are collected from new sources particularly. It has three types of Big Data such as structured, unstructured, and semi-structured. It is characterised by volume, variety, velocity, and variability.

Big Data Engineers' Importance in organisations

Big Data Engineers are important for any organisation, especially in collecting data in huge amounts from various fields. They do data extraction processes and create algorithms. They improve business operations and bespoke tools and algorithms for the data science and data analytics teams which makes their work much easier.

Qualification to become a Big Data Engineer

If you want to become a Big Data Engineer you must hold a Bachelor’s degree in computer science, software engineering, mathematics, or a different Information Technology degree. You must also have some technical skills and knowledge that will discuss further in this article.

Skills required for Big Data Engineers

• Big Data Engineers must have knowledge of Hadoop, MapReduce,
• Streaming, NoSQL solutions, Cassandra, HIVE, CouchDB, and HBase
• Experience in agile development methodologies
• Must have knowledge of Database and SQL
• Must know computer programming languages such as Java, C++, or Python
• Must be able to multi-task to work without supervision
• Communications skills both written and verbal
• Managerial skills and experience
• Databases, ETL, and data warehousing
• Operating system knowledge for Unix, Linux, Windows, and Solaris
• Data Mining and modeling
• Must have knowledge of Apache Spark

Big Data Engineer roles and responsibilities

• Builds and maintains work environment such as architecture, data preparation, and management process
• Designs and implements software systems
• Collects data from various sources and stores in warehouses or the repository
• Uses the ETL process and creates data architectures
• Collaborates with other team members like the IT team, data analysts, and data scientists
• Researches new methodologies for improving data quality
• Calling APIs, writing SQL queries, writing scripts, web scraping

Big Data Engineer Salary in India

Big Data Engineer's entry-level salary in India is about Rs 4.6 lakhs per year. The Mid-Level salary is around Rs 7.2 lakhs per year and for experienced, it is Rs 12.6 lakhs per year.

Big Data Engineer salaries based on location

In the table given below we have mentioned some of the prominent cities in India that are hirging hot-spots for Big Data Engineers along with the average annual salary.

Big Data Engineers average salary based on the companies in India

In the table given below we have mentioned some of the top recruiters and their average salaries for Big Data Engineers on an yearly basis.

NOTE: The salary figures mentioned anywhere in these articles are just for reference purposes. Please treat them as such. Actual salaries may vary depending on respective candidates, employer, job location, and numerous other factors.”