This template is designed to help you create a comprehensive job description for a Hadoop Developer position. It outlines the essential responsibilities, qualifications, and skills required for the role, aiming to attract candidates who are proficient in Hadoop-based technologies and align with your organization’s big data and analytics goals.
A Hadoop Developer specializes in designing, building, and maintaining systems and applications using the Hadoop framework. They play a crucial role in handling large volumes of data (big data) and are responsible for developing Hadoop applications to make data accessible and usable for decision-making processes.
Hadoop Developer Job Description Template
We are seeking a skilled Hadoop Developer to join our dynamic team. In this role, you will be responsible for the development and maintenance of Hadoop applications in support of our big data analytics objectives. Your expertise in Hadoop ecosystem components such as HDFS, MapReduce, HBase, Hive, Pig, and YARN will be essential for developing scalable and efficient big data solutions.
Hadoop Developer Responsibilities
- Develop Hadoop applications to handle large data sets.
- Manage Hadoop jobs using scheduler.
- Cluster coordination services through Zookeeper.
- Support MapReduce programs running on the Hadoop cluster.
- Optimize and tune big data applications to meet performance requirements.
- Test software prototypes, propose standards, and optimize performance.
- Work closely with the data warehouse team to prepare designs for data storage and maintenance.
- Analyze big data stored in HDFS and provide insights.
- Translate complex functional and technical requirements into detailed designs.
- Ensure compliance with data security and privacy policies.
Hadoop Developer Reports To
- Data Analytics Manager
- Head of Data Science
Hadoop Developer Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- [X-Y years] of experience as a Hadoop Developer or similar role.
- Proficiency with Hadoop v2, MapReduce, HDFS.
- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.
- Knowledge of Big Data querying tools, such as Pig, Hive, and Impala.
- Experience with integration of data from multiple data sources.
- Familiarity with various messaging systems, such as Kafka or RabbitMQ.
- Ability to solve any ongoing issues with operating the cluster.
- Proficiency with Java, Python, or Scala.
- Excellent problem-solving and analytical skills.
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