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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 someone who resolves problems related to Big Data and its requirements by building and managing Hadoop solutions lifecycle. His or her work responsibilities involve platform selection, designing technical architecture, application development, design, testing and deployment. A Big Data Developer is a professional behind coding of Hadoop applications. He or she must be skilled at managing 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.
Big Data Developer in a Nutshell
A Big Data Developer is a professional responsible for developing Hadoop applications to serve the needs of big data of the employing organisation. He or she resolves the big data problems and requirements. His or her role involves designing, building, installing, configuring and supporting Hadoop. Big Data Developer creates scalable and high-performance web services for tracking data.
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 the career as 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 their organisations. He or she uses Big Data software such as Hive, MapReduce or others 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. A Big Data Developer job includes transferring information to big data platforms. Big Data Developers work with other specialists such as Big Data Analysts or Big Data Engineers. They work on Big Data Analytics platforms. Their everyday job role involves writing Unix shell scripts, complex SQL and data pipelines on Shell Scripting, Core Spark, Kafka, using Scala , Java or Python Programming.
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/libraries that can be enhanced in multiple big data developments.
Debugging
The role of Big Data Developer demands an understanding of algorithms, data structures, performance optimisation techniques and software development to debug critical issues with algorithms and software.
Providing Support
A career as Big Data Developer requires to provide support with technical design or architecture and execution of big data clusters. He or she writes codes, trains and mentors junior personnel.
Types of a Big Data Developer
We have provided below details of types of Big Data Developer job roles. One can specialise in their particular area of expertise and opt for these roles in the Big Data field.
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 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.
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. The role of 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. A Big Data Developer is a technical role. He or she is not exposed to any technical hazard. Big Data Developer jobs are suitable for candidates with mobility relevant special need.
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
Full Time, Work From Home
A career as a Big Data Developer comes with a day working shift. Big Data Developers usually work from early mornings to late evenings. Work from home and remote work may often be provided in this career.
Employment Nature
Contractual, Permanent
A Big Data Developer career comes with contractual as well as permanent job roles. Nature of Employment of Big Data Developer depends on requirements of the employing organisation.
Work Place
Office, Work From Home, Remote Work
A Big Data Developer workplace does not vary. He or she works in an office environment. Occasionally, work from home, remote work may often be provided.
Presence in Geographical Area
Semi-urban, Urban
Big Data Developer jobs can easily be found in urban locations. Metropolitan cities such as Hyderabad, Bengaluru, Gurugram, Noida, Pune and New Delhi provide promising Big Data jobs.
Time Pressure
Likely
A Big Data Developer often requires to work under frequent pressure to meet deadlines and on emergency needs.
Overtime Details
A Big Data Developer career may occasionally be required to work extended hours.
Weekly Hours of Work
Min 35 Hours
The work hours of Big Data Developers vary from organisation to organisation. A Big Data Developer usually works 35 to 40 hours per week. He or she gets one or two fixed days off on weekends.
How to become a Big Data Developer?
Steps to become a Big Data Developer
What are the skills and qualities required to become a/an Big Data Developer?
Aspiring candidates are required to possess several skill sets in order to become Big Data Developer. We have provided below 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 programmes 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 in order to build and train predictive analytic apps.
Statistical and Quantitative Analysis: A Big Data Developer must possess statistical and quantitative skills. An expertise in statistical tools such as R, SAS, Matlab, SPSS or Stata is crucial for the role. Employers demand geeks with quantitative backgrounds.
Popular Online Engineering Courses and Certifications
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 certifications courses provided below. These Big Data courses help them to upgrade their skills and knowledge to acquire the permanent Big Data Developer job roles.
Big Data Developer Courses
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. Candidates can opt for big data internships during the mid semester break of their academic programmes or after successful completion of it. Big data internship enhances the resume and increases chances to acquire data science and business analytics jobs.
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 provides assistance to senior Big Data Developers. 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 includes 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 generates high level designs.
Salary Description
The salary of a junior level Big Data Developer varies depending on his or her skills, expertise and employing 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 its implementation. He or she disparates data sets, vast data stores’ 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 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 and technologies and improved computer storage, the big data field has shown tremendous growth. Across all industries, the demand for Big Data Developers has risen up. They provide support to enhance business strategies, improve customer service and ensure effective sales and generate revenues. The top employers of Big Data Developers include Oracle, Accenture, Cognizant, Adobe, Infosys and JP Morgan.
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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 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 of B.Tech. in Big Data Analytics ranges Rs. 100,000 to Rs. 600,000.
Que. What are top Big Data Developer colleges?
Ans.We have listed below top Big Data Developer colleges:
Que. What are top employers of Big Data Developers?
Ans.Top employers of Big Data Developers are listed below:
Adobe
Microsoft
Amazon
Google
IBM
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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
