Hadoop Developer Job Description [Updated for 2024]

hadoop developer job description

In the era of big data, the demand for Hadoop developers is greater than ever.

As technology continues to advance, the need for proficient professionals who can develop, optimize, and secure our big data ecosystem becomes paramount.

But let’s delve deeper: What is really expected of a Hadoop developer?

Whether you are:

  • A job seeker aiming to understand the core requirements of this role,
  • A hiring manager trying to outline the perfect candidate,
  • Or simply fascinated by the world of big data and Hadoop development,

You’ve come to the right place.

Today, we present a tailor-made Hadoop developer job description template, designed for effortless posting on job boards or career sites.

Let’s get started.

Hadoop Developer Duties and Responsibilities

Hadoop Developers are responsible for the actual coding and programming of Hadoop applications.

They deal with large scale data, including structured, semi-structured, and unstructured, efficiently processing it for various business needs.

The typical duties and responsibilities of a Hadoop Developer include:

  • Designing, building, installing, configuring, and supporting Hadoop systems
  • Translating complex functional and technical requirements into detailed designs
  • Performing analysis of vast data stores and uncover insights
  • Maintaining security and data privacy in various areas within the Hadoop ecosystem
  • Creating scalable and high-performance web services for data tracking
  • Developing efficient pig and hive scripts with joins on datasets to implement the business logic and create reports
  • Working with data delivery teams to set up new Hadoop users, along with cluster maintenance
  • Testing prototypes and oversee the production of operational, technical, and user documentation
  • Proposing best practices and standards, also troubleshooting any Hadoop ecosystem run-time issues

 

Hadoop Developer Job Description Template

Job Brief

We are seeking a skilled Hadoop Developer to join our team.

As a Hadoop Developer, you will be responsible for the design, development, and implementation of big data solutions using Hadoop technologies.

The Hadoop Developer will work on solving complex problems in a distributed computing environment, develop scalable, high-performance systems for processing data, and contribute to architectural decisions.

Our ideal candidate has a strong understanding of Hadoop and related technologies, excellent problem-solving skills, and experience with software development and big data methodologies.

 

Responsibilities

  • Design and implement data processing pipelines using Hadoop and other big data technologies.
  • Develop high-performance, reliable, and scalable data processing systems.
  • Perform analysis of vast data stores and uncover insights.
  • Create scalable and high-performance web services for data tracking.
  • Manage and deploy Hadoop cluster, add and remove nodes, keep track of jobs, monitor critical parts of the cluster, configure name-node high availability, etc.
  • Translate complex functional and technical requirements into detailed design.
  • Propose best practices/standards.
  • Identify and resolve performance bottlenecks in the Hadoop stack.
  • Work with data scientists and other technical staff to operationalize models and deliver insights to the business.

 

Qualifications

  • Proven work experience as a Hadoop Developer or similar role in big data.
  • Proficient understanding of distributed computing principles.
  • Knowledge of big data technologies, such as Hadoop, Hive, HBase, Spark, or others.
  • Ability to write reliable, manageable, and high-performance code.
  • Experience with build and operational deployment of Hadoop solutions.
  • Excellent problem-solving and analytical skills.
  • BSc degree in Computer Science, Engineering or relevant field.

 

Benefits

  • 401(k)
  • Health insurance
  • Dental insurance
  • Retirement plan
  • Paid time off
  • Professional development opportunities

 

Additional Information

  • Job Title: Hadoop Developer
  • Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
  • Reporting Structure: Reports to the Data Engineering Manager.
  • Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
  • Pay Range: $110,000 minimum to $180,000 maximum
  • Location: [City, State] (specify the location or indicate if remote)
  • Employment Type: Full-time
  • Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
  • Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Hadoop Developer Do?

A Hadoop Developer is a professional in the field of Big Data analytics whose primary role is to handle and analyze large sets of structured and unstructured data efficiently.

They typically work in industries such as IT firms, consulting agencies, or any corporation that requires data processing and analysis.

A Hadoop Developer primarily uses the Hadoop software framework for storing and processing big data.

This includes creating robust data processing applications, developing Hadoop Big Data solutions for analytics, and ensuring that the data stored is secure and easily retrievable.

They are responsible for writing complex MapReduce programs, maintaining, updating, and optimizing the Hadoop cluster for better performance.

They also conduct the design and development of high-speed querying, managing Hadoop jobs, and implementing security and data governance.

Hadoop Developers work closely with Data Scientists and Architects to convert their designs and models into scalable Hadoop applications.

They also work with system administrators to ensure the smooth operation of the cluster.

On top of this, they need to be able to troubleshoot any issues that may arise, and continually update their systems as Hadoop updates are released.

They are also responsible for coding, testing, debugging, and documenting the entire process to ensure that the data analysis is accurate and efficient.

 

Hadoop Developer Qualifications and Skills

A Hadoop Developer should have a set of technical skills, soft skills and knowledge of the data field to effectively manage and manipulate big data using Hadoop technologies, including:

  • Proficiency in Hadoop-related technologies such as HDFS, MapReduce, and Apache Pig, Hive, HBase, Zookeeper to manage and analyze big data.
  • Ability to write reliable and efficient codes in programming languages like Java, Python, and Scala for data processing and analysis.
  • Strong problem-solving skills to debug issues that may arise in the data pipeline and develop solutions.
  • Ability to work with SQL databases and knowledge of querying databases for analysis and reporting.
  • Understanding of data loading tools like Flume and Sqoop to efficiently import/export data from Hadoop.
  • Experience with data modeling tools, and the ability to create data processing algorithms.
  • Excellent analytical skills to understand the requirements of business teams and convert them into technical specifications.
  • Strong communication skills to collaborate with data scientists, data analysts, and other stakeholders, and clearly explain the functionalities of data processing and analysis.
  • Attention to detail and organization skills to manage large datasets, maintaining accuracy and efficiency.
  • Knowledge of software development methodologies like Agile or Scrum, and version control systems like Git.

 

Hadoop Developer Experience Requirements

Entry-level Hadoop Developers usually have 1 to 2 years of experience, often gained through internships, educational projects or part-time roles related to big data processing or programming.

These professionals may also acquire on-the-job experience in roles such as Data Analyst, Software Engineer, or other IT-related positions.

Those with 2 to 3 years of experience are expected to have practical knowledge of the Hadoop ecosystem and its components such as HDFS, MapReduce, HBase, Hive, Pig, Sqoop, and others.

They should also have experience working with back-end programming, especially Java, and scripting languages like Python or Perl.

Hadoop Developers with more than 3 years of experience should have developed their technical skills and knowledge in big data processing using Hadoop, and are often skilled in using related technologies such as Spark and NoSQL databases.

Those with more than 5 years of experience are likely to have significant experience in designing, building, and maintaining Hadoop-based applications and handling large data sets.

They may also have some leadership experience, handling team-based projects or guiding junior developers, and could be considered for senior or managerial roles in the data engineering field.

 

Hadoop Developer Education and Training Requirements

Hadoop Developers usually hold a bachelor’s degree in computer science, software engineering, or a related field.

They are required to have a good understanding of the Hadoop ecosystem and Big Data tools and methodologies.

Familiarity with languages such as Java, SQL, Python, and others are significant for this role.

A strong knowledge of Hadoop-based technologies such as Hive, HBase, or others is often required.

Understanding of data loading tools like Flume and Sqoop, and workflow tools like Oozie is also beneficial.

Some employers may prefer candidates with a master’s degree in a specific IT or computer science discipline, focusing on data science or big data analytics.

Professional certification in Hadoop development, such as the Cloudera Certified Developer for Apache Hadoop (CCDH), can also be advantageous for aspiring Hadoop Developers.

Such advanced degrees and certifications indicate a candidate’s commitment to continual learning and their potential leadership capabilities.

 

Hadoop Developer Salary Expectations

A Hadoop Developer can expect to earn an average salary of $120,000 (USD) per year.

The actual salary can vary depending on factors such as experience, education, location and the size of the company.

 

Hadoop Developer Job Description FAQs

What skills does a Hadoop Developer need?

Hadoop Developers should possess strong programming skills in languages such as Java, Python, and Scala.

They need a deep understanding of Hadoop ecosystem components like HDFS, MapReduce, HBase, and YARN.

Knowledge of SQL and database structures, as well as familiarity with data loading tools like Flume and Sqoop, is important.

They should also have problem-solving skills and the ability to work in a team.

 

Do Hadoop Developers need a degree?

Most employers prefer Hadoop Developers to have a bachelor’s degree in Computer Science, Information Systems, or a related field.

However, equivalent experience and a demonstrated understanding of the Hadoop ecosystem can sometimes substitute.

Certifications such as the Certified Hadoop Developer can also be beneficial.

 

What should you look for in a Hadoop Developer resume?

Firstly, look for a degree in a related field or equivalent experience.

Check for hands-on experience with the Hadoop ecosystem, programming languages, and data management.

Certifications related to Hadoop can be a plus.

Also, consider their experience in the industry relevant to your business.

 

What qualities make a good Hadoop Developer?

A good Hadoop Developer is analytical and has an eye for detail, which is essential for dealing with complex data.

They should be curious and open to learning, as the field of big data is constantly evolving.

They need good communication skills to explain complex data insights to non-technical team members.

Problem-solving skills and creativity are also important for creating innovative data solutions.

 

Is it difficult to hire Hadoop Developers?

Hiring a Hadoop Developer can be challenging due to the specialized skills required and the growing demand for professionals in big data.

However, offering competitive compensation, opportunities for professional development, and interesting projects can attract top talent.

 

Conclusion

There you have it.

Today, we’ve taken a deep dive into the critical role of a Hadoop developer.

Surprise, surprise.

It’s not just about managing databases.

It’s about shaping the data-driven future, one byte at a time.

With our detailed Hadoop developer job description template and authentic examples, you’re primed to take the leap.

But don’t stop just yet.

Explore further with our job description generator. It’s your ultimate tool for perfecting precision-crafted listings or refining your resume to a tee.

Remember:

Every byte of data is a part of the larger digital landscape.

Let’s mould that future. Together.

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