How to Become a 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.

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.  

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. 

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.

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. 

• Big Data Hadoop Certification Training Course

• Apache Scala and Spark Certification Training

• Apache Kafka Certification Training

• AWS Big Data Certification Training Course

• Big Data Hadoop Certification Training

• Talend for Data Integration and Big data

• Online Big Data Course

• Machine Learning with PySpark for Big Data

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. 

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.