What does a hadoop developer do?
A Hadoop developer specializes in designing and developing Hadoop applications that attend to a company's data storage needs. Their responsibilities include gathering and analyzing data, creating drafts and frameworks, isolating and monitoring data, creating test structures, and coming up with data tracking and security systems. They must also make back-up plans, troubleshoot and resolve issues, and produce regular progress reports. Moreover, a Hadoop developer typically works in a team setting, which requires an active communication line for a smooth and efficient workflow.
Hadoop developer responsibilities
Here are examples of responsibilities from real hadoop developer resumes:
- Manage the configuration of the cluster to meet the needs of analysis whether I/O bound or CPU bound.
- Lead initiatives to automate application builds and deployments using Hudson/Jenkins.
- Build and manage development and testing environments, assisting developers in debugging application issues.
- Utilize various data analysis and data visualization tools to accomplish data analysis, report design and report delivery.
- Used Cassandra (CQL) with Java API's to retrieve data from Cassandra tables.
- Work extensively in creating data platform for data injection from multiple sources into HDFS using Kafka producers, consumers.
- Develop multiple Kafka topics/queues and produce 20Million data using producer written in java.
- Used Kafka to conjunction with Zookeeper for deployment management, which necessitates monitoring its metrics alongside Kafka clusters.
- Work on HDP rolling upgrades.
- Involve in storing data into HBASE.
- Deploy necessary SQL queries for database transactions.
- Involve in data management using SQL database.
- Monitor the file systems and CPU load for better performance.
- Connect hive and impala to tableau reporting tool and generate graphical reports.
- Involve in working with offshore team on daily and bi weekly sprint basis.
Hadoop developer skills and personality traits
We calculated that 7% of Hadoop Developers are proficient in HDFS, Python, and Java. They’re also known for soft skills such as Creativity, Detail oriented, and Interpersonal skills.
We break down the percentage of Hadoop Developers that have these skills listed on their resume here:
- HDFS, 7%
Developed data pipeline expending Pig and Java MapReduce to consume customer behavioral data and financial antiquities into HDFS for analysis.
- Python, 6%
Developed Spark application using Python on different data formats for processing and analysis.
- Java, 6%
Developed multiple Kafka topics/queues and produced 20Million data using producer written in java.
- HBase, 5%
Applied Hive quires to perform analysis of vast data on HBASE using Storage Handler to meet the business requirements.
- Sqoop, 5%
Experienced in importing and exporting data into HDFS and assisted in exporting analyzed data to RDBMS using SQOOP.
- Kafka, 4%
Replicated data across data centers using mirror maker in Apache Kafka by doing both synchronous replication and asynchronous replication.
"hdfs," "python," and "java" are among the most common skills that hadoop developers use at work. You can find even more hadoop developer responsibilities below, including:
Creativity. The most essential soft skill for a hadoop developer to carry out their responsibilities is creativity. This skill is important for the role because "developers are the creative minds behind new computer software." Additionally, a hadoop developer resume shows how their duties depend on creativity: "developed statistical models to forecast inventory and procurement cycles.8 developed python code to provide data analysis and generate complex data report. "
Detail oriented. Another soft skill that's essential for fulfilling hadoop developer duties is detail oriented. The role rewards competence in this skill because "developers often work on many parts of an application or system at the same time and must therefore be able to concentrate and pay attention to detail." According to a hadoop developer resume, here's how hadoop developers can utilize detail oriented in their job responsibilities: "used java application development skills with object oriented analysis and extensively involved throughout software development life cycle (sdlc). "
Interpersonal skills. hadoop developers are also known for interpersonal skills, which are critical to their duties. You can see how this skill relates to hadoop developer responsibilities, because "software developers must be able to work well with others who contribute to designing, developing, and programming successful software." A hadoop developer resume example shows how interpersonal skills is used in the workplace: "mentor and coach entrepreneurs in areas of interpersonal skills, personal finance, business development & leadership. "
Analytical skills. hadoop developer responsibilities often require "analytical skills." The duties that rely on this skill are shown by the fact that "developers must analyze users’ needs and then design software to meet those needs." This resume example shows what hadoop developers do with analytical skills on a typical day: "utilized various data analysis and data visualization tools to accomplish data analysis, report design and report delivery. "
Communication skills. A commonly-found skill in hadoop developer job descriptions, "communication skills" is essential to what hadoop developers do. Hadoop developer responsibilities rely on this skill because "developers must be able to give clear instructions to others working on a project." You can also see how hadoop developer duties rely on communication skills in this resume example: "analyzed the data by performing hive queries and running spark sql to understand allstate insurance customer communication documents print statistics. "
Problem-solving skills. While "problem-solving skills" is last on this skills list, don't underestimate its importance to hadoop developer responsibilities. Much of what a hadoop developer does relies on this skill, seeing as "because developers are in charge of software from beginning to end, they must be able to solve problems that arise throughout the design process." Here is a resume example of how this skill is used in the everyday duties of hadoop developers: "exported the pig output from hdfs to mysql using sqoop for dash board solutions. "
The three companies that hire the most hadoop developers are:
- Bank of America16 hadoop developers jobs
- Blue Cross Blue Shield of Michigan14 hadoop developers jobs
- Randstad North America, Inc.11 hadoop developers jobs
Choose from 10+ customizable hadoop developer resume templates
Build a professional hadoop developer resume in minutes. Our AI resume writing assistant will guide you through every step of the process, and you can choose from 10+ resume templates to create your hadoop developer resume.
Compare different hadoop developers
Hadoop developer vs. Business intelligence developer
A business intelligence developer is primarily responsible for organizing and developing systems that will inform the company of essential data and solutions as a basis for decision-making. They are also responsible for coordinating with stakeholders and other high-ranking personnel to determine specific goals, develop models, conduct research and analysis, and gather data through various processes, ensuring accuracy and productivity. Furthermore, as a developer, it is essential to ensure that all processes adhere to the company's standards and policies.
While similarities exist, there are also some differences between hadoop developers and business intelligence developer. For instance, hadoop developer responsibilities require skills such as "hdfs," "python," "hbase," and "sqoop." Whereas a business intelligence developer is skilled in "power bi," "business intelligence," "analytics," and "dashboards." This is part of what separates the two careers.
Business intelligence developers tend to make the most money working in the health care industry, where they earn an average salary of $92,515. In contrast, hadoop developers make the biggest average salary, $103,697, in the finance industry.The education levels that business intelligence developers earn slightly differ from hadoop developers. In particular, business intelligence developers are 0.1% less likely to graduate with a Master's Degree than a hadoop developer. Additionally, they're 0.0% less likely to earn a Doctoral Degree.Hadoop developer vs. Developer/consultant
A developer/consultant is responsible for developing system databases and applications, depending on the business' needs and clients' specifications. Developers/consultants design their services to manage optimal performance and maximize productivity for timely submission of projects, ensuring client satisfaction and loyalty. They also handle clients' inquiries and concerns, informing them about necessary adjustments to improve strategic procedures and processes. A developer/consultant must have excellent communication and analytical skills, as well as extensive experience with the technology industry.
In addition to the difference in salary, there are some other key differences worth noting. For example, hadoop developer responsibilities are more likely to require skills like "hdfs," "hbase," "sqoop," and "kafka." Meanwhile, a developer/consultant has duties that require skills in areas such as "project management," "javascript," "hr," and "jquery." These differences highlight just how different the day-to-day in each role looks.
Developer/consultants earn a higher average salary than hadoop developers. But developer/consultants earn the highest pay in the technology industry, with an average salary of $101,340. Additionally, hadoop developers earn the highest salaries in the finance with average pay of $103,697 annually.Average education levels between the two professions vary. Developer/consultants tend to reach similar levels of education than hadoop developers. In fact, they're 1.7% less likely to graduate with a Master's Degree and 0.0% more likely to earn a Doctoral Degree.Hadoop developer vs. Mobile applications developer
A mobile application developer is responsible for designing programming applications for mobile devices according to clients' specifications and business demands. Mobile application developers must have excellent knowledge of the technology industry, as well as computer system commands to develop efficient scripts and smooth navigation of operating systems. They analyze the clients' needs and recommend application solutions within their budget limitations and timeframe. A mobile application developer identifies inconsistencies and glitches with the output before submission to ensure its stability and optimal performance.
There are many key differences between these two careers, including some of the skills required to perform responsibilities within each role. For example, a hadoop developer is likely to be skilled in "hdfs," "python," "hbase," and "sqoop," while a typical mobile applications developer is skilled in "c++," "c #," "mobile development," and "react native."
Mobile applications developers earn the best pay in the pharmaceutical industry, where they command an average salary of $107,574. Hadoop developers earn the highest pay from the finance industry, with an average salary of $103,697.Most mobile applications developers achieve a similar degree level compared to hadoop developers. For example, they're 0.7% more likely to graduate with a Master's Degree, and 0.2% more likely to earn a Doctoral Degree.Hadoop developer vs. Informatica etl developer
An Informatica ETL Developer is responsible for developing, enhancing, debugging, maintaining, and testing software applications that support business units of an organization. They also maintain warehouse metadata and standards for future application development.
Types of hadoop developer
Updated January 8, 2025
