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Who is a Big Data Developer?
“You can have data without information, but you cannot have information without data" – By Daniel Keys Moran
A Big Data Developer is a professional who designs, implements, maintains systems and resolves problems related to Big Data. He or she uses various tools and technologies to analyse, process and extract data from huge datasets. The major role of a Big Data Developer is to develop data processing applications, manage and data storage systems.
Big Data Developer is a highly skilled developer who manages the complete Hadoop solution lifecycle including designing technical architecture, platform selection, requirement analysis, design, development, testing and deployment. A Big Data Developer is primarily responsible for the coding of Hadoop applications. In this article, we will discuss how to become a Big Data Developer in India.
Quick Facts for Big Data Developer
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Industry
Information Technology
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Average Salary in India
₹52083
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Suitable for
Male, Female, Others
One’s gender is not responsible for career growth or hindrance in the Big Data Developer role. Opportunities are there for everyone regardless of their gender identity. A degree in computer science or related specialisations with required skills are enough to take up the role of Big Data Developer.
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Any special needs
Yes
Candidates with mobility-relevant special needs can opt for a career as a Big Data Developer. The Big Data Developer job role demands working on computer systems. Aspirants wishing to opt for the role of Big Data Developer are required to possess good eyesight and computer skills.
Table of Contents for Big Data Developer
What is the role of Big Data Developer?
A Big Data Developer is responsible for providing IT services to his or her organisation. He or she uses Big Data software such as Hive, and MapReduce to interpret theories, debug and optimise data. A Big Data Developer possesses a strong understanding of computer programming languages and understands how to process data and address processing.
The role of a Big Data Developer job includes transferring information to big data platforms. He or she works with other specialists such as Big Data Analysts or Big Data Engineers on Big Data Analytics platforms. A Big Data Developer's everyday job role involves writing Unix shell scripts, complex SQL and data pipelines on Shell Scripting.
Coding
A Big Data Developer work responsibilities include coding to develop Hadoop applications and software with the use of Hadoop technologies such as Spark, Python, Hbase, Hive and Cloudera.
Mentoring
A Big Data Developer is responsible for mentoring the development team to create custom common utilities or libraries that can be enhanced in multiple big data developments.
Debugging
The Big Data Developer roles and responsibilities demand an understanding of algorithms, data structures, performance optimisation techniques and software development to debug critical issues with algorithms and software.
Providing Support
The Big Data Developer roles and responsibilities are required to provide support with technical design or architecture and execution of big data clusters. He or she writes codes, and trains and mentors junior personnel.
Types of a Big Data Developer
We have provided below the details of the types of Big Data Developer. One can specialise and opt for related Big Data career options.
Hadoop Developer: A Hadoop Developer is a professional who specialises in handling and managing Big Data processes. He or she plays a similar role to that of a Software Developer, the only key difference is he or she focuses on Big Data.
Spark Developer: A Spark Developer is a computer science professional who creates codes to ensure Big Data is available. He or she ensures the availability of Big Data in the shortest possible time. He or she produces unit tests for Spark transformation and writes Scaladoc-style documentation.
What is the workplace/work environment of Big Data Developer like?
A career as a Big Data Developer comes with an office setting work environment. It is a desk-based job role and is also suitable for candidates with mobility-relevant special needs. The role of a Big Data Developer does not require frequent travel. Coding, time management, troubleshooting and communication skills are crucial for the role. He or she has fixed working hours.
Does Big Data Developer require travelling?
Not Likely
A career as a Big Data Developer does not come with frequent travel requirements. It is a desk job-based role. One has to perform tasks on a computer system.
Employment Shifts
Work From Home
Time Pressure
Likely
A Big Data Developer is often required to work under frequent pressure to meet deadlines and on emergency needs. He or she may occasionally be required to work extended hours.
How to become a Big Data Developer?
Steps to become a Big Data Developer
Big Data Developer is a highly skilled IT professional who designs, implements and manages large-scale data processing systems. If you are someone who wants to be part of this career to transform raw data into valuable insights then you have come to the right place. In this section, we have provided complete guidance on how to become a Big Data Developer in India.
What are the skills and qualities required to become a/an Big Data Developer?
Aspiring candidate is required to possess several skill sets to become a Big Data Developer. We have provided below the details of major Big Data Developer skills.
Apache Hadoop: A Big Data Developer is responsible for developing Hadoop applications. He or she is required to possess an in-depth knowledge of software programs such as HDFS, MapReduce, Flume, Oozie, Hive, Pig, HBase and YARN to develop Hadoop applications.
Apache Spark: Spark serves as the alternative to MapReduce-style analytics. It gives great results being positioned with the big data pipeline. Technical expertise is required to program and run Spark.
NoSQL: NoSQL often serves as the source of data crunched in Hadoop. Hadoop and NoSQL serve as the opposite sides of a virtuous cycle.
Machine Learning: Machine Learning is an important aspect of Big Data. Aspirants are required to possess a strong knowledge of machine learning to build and train predictive analytic apps.
Statistical and Quantitative Analysis: A Big Data Developer must possess statistical and quantitative skills. Expertise in statistical tools such as R, SAS, Matlab, SPSS or Stata is crucial for the role. Employers demand geeks with quantitative backgrounds.
Which certifications and internships can be helpful in becoming Big Data Developer?
Aspirants who want to take up the role of Big Data Developer may check the list of Big Data Developer certification courses provided below. These Big Data courses help them to upgrade their skills and knowledge to acquire permanent Big Data Developer job roles.
Internship Availability
A big data developer internship provides students with valuable computational experience and prepares them to take up the role relevant to big data in finance, marketing, banking and retail. A candidate can opt for a big data internship during the mid-semester break of his or her academic programme or after successful completion of it.
Career Path Progression for Big Data Developer
Aspirants who want to acquire Big Data Developer job opportunities are required to enter the industry with Big Data Internships. With experience in the industry, one can progress up to senior-level roles. We have provided below details of Big Data Developer career progression with varying roles and responsibilities.
Junior Big Data Developer: A junior-level Big Data Developer generally possesses a work experience of 1 to 4 years. He or she assists senior Big Data Developers and his or her roles may include executing data mapping and lineage strategy.
Senior Big Data Developer: A senior-level Big Data Developer is responsible for translating business requirements into technology implementations. He or she works with ETL Architects, Business Analysts, QA and other professionals to implement the development.
Big Data Developer Jobs and Salaries
Junior Big Data Developer
Contractual/Permanent
- Average Salary 33333
Job Description
The work responsibilities of a junior Big Data developer include providing support in maintaining security and data privacy. He or she is required to contribute to the discovery phase of projects of various sizes and generate high-level designs.
Salary Description
The salary of a junior-level Big Data Developer varies depending on his or her skills, expertise and employment organisation. The average salary of a Big Data Developer is Rs. 400,000 per annum.
Senior Big Data Developer
Contractual/Permanent
- Average Salary 70833
Job Description
A Big Data Developer is responsible for developing Hadoop applications and their implementation. He or she disparates data sets, vast data store analysis and undercover insights. A Big Data Developer is responsible for developing scalable and high-performance web services.
Salary Description
The salary of a senior-level experienced Big Data Developer varies depending on his or her skills, experience and knowledge. The average salary of a senior-level Big Data Developer ranges from Rs. 850,000 per annum in India.
What is the job outlook for Big Data Developer?
With the emergence of more advanced data collection tools, technologies and improved computer storage, the big data field has shown tremendous growth. Across all industries, the demand for Big Data Developers has risen. They provide support to enhance business strategies, improve customer service, ensure effective sales and generate revenues. The top employers of Big Data Developers include Oracle, Accenture, Cognizant, Adobe, Infosys and JP Morgan.
Frequently Asked Questions for Big Data Developer
Que. What is the average salary of Big Data Developer?
Ans.The average salary of a Big Data Developer in India ranges from Rs. 770,000, according to LinkedIn.
Que. What is the minimum required education to become a Big Data Developer?
Ans.Successful completion of an undergraduate programme in Big Data Analytics or Computer Science is required to become a Big Data Developer.
Que. What is the average fee of B.Tech. in Big Data Analytics?
Ans.The course fee for B.Tech. in Big Data Analytics ranges from Rs. 100,000 to Rs. 600,000.
Que. What are top Big Data Developer colleges?
Ans.The top Big Data Developer colleges are SRM University Chennai - SRM Institute of Science and Technology, VIT Vellore - Vellore Institute of Technology, College of Engineering, Guindy, Presidency University, Bangalore and Jamia Hamdard, New Delhi.
Que. What are top employers of Big Data Developers?
Ans.The top employers of Big Data Developers are Adobe, Microsoft, Amazon, Google and IBM.
Que. Is coding required for big data?
Ans.Yes, coding is an important requirement to become a Big Data Developer. You are required to have knowledge of R and Python and proficiency in querying languages like SQL.
Que. What is the salary of a big data developer?
Ans.The salary of a big data developer in India ranges between Rs 3.5 Lakhs to Rs 15.0 Lakhs with an average annual salary of Rs 8.2 Lakhs according to the source, AmbitionBox.
Que. Is big data developer in demand?
Ans.Yes, Big Data Developer is in high demand. This career is in demand across all industries due to the increase in technology.
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Did you know?
Fact 1
By 2023, Big Data analytics market will reach $103
Fact 2
Around 2.5 quintillion bytes of data is generated each day by internet users
Fact 3
Netflix saves $1 billion per year on customer retention through big data
Fact 4
Every person has generated 1.7 megabytes in each second in the year 2020
Fact 5
95 percent of businesses require to manage the unstructured data
