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Hadoop Developer


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We are looking for a skilled Hadoop Developer to join our dynamic team. The ideal candidate will have extensive experience in developing and managing Hadoop-based applications and systems. You will be responsible for designing, implementing, and optimizing large-scale data processing solutions using Hadoop technologies. Your role will involve working closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure is robust, scalable, and efficient. You will also be expected to stay up-to-date with the latest industry trends and technologies to continuously improve our data processing capabilities. The successful candidate will have a strong background in computer science, data engineering, and big data technologies. You should be proficient in Hadoop ecosystem components such as HDFS, MapReduce, Hive, Pig, HBase, and Spark. Additionally, you should have experience with data warehousing solutions, ETL processes, and data integration techniques. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for this role. If you are passionate about big data and have a proven track record of delivering high-quality data solutions, we would love to hear from you.


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  • Design and develop Hadoop-based data processing solutions.
  • Implement and optimize MapReduce jobs.
  • Manage and maintain Hadoop clusters.
  • Collaborate with data scientists and analysts to understand data requirements.
  • Develop and maintain ETL processes.
  • Ensure data quality and integrity.
  • Monitor and troubleshoot Hadoop jobs and workflows.
  • Optimize data storage and retrieval processes.
  • Stay up-to-date with the latest Hadoop technologies and trends.
  • Document technical specifications and processes.
  • Provide technical support and guidance to team members.
  • Participate in code reviews and ensure best practices are followed.
  • Develop and implement data security measures.
  • Perform data analysis and generate reports as needed.
  • Work with other IT teams to integrate Hadoop solutions with existing systems.


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  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 3+ years of experience in Hadoop development.
  • Proficiency in Hadoop ecosystem components such as HDFS, MapReduce, Hive, Pig, HBase, and Spark.
  • Experience with data warehousing solutions and ETL processes.
  • Strong programming skills in Java, Python, or Scala.
  • Familiarity with SQL and NoSQL databases.
  • Excellent problem-solving and analytical skills.
  • Strong understanding of data security and privacy principles.
  • Ability to work independently and as part of a team.
  • Excellent communication and interpersonal skills.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus.
  • Knowledge of data integration techniques and tools.
  • Experience with version control systems such as Git.
  • Ability to manage multiple tasks and projects simultaneously.
  • Strong attention to detail and commitment to quality.

Potential interview questions

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  • Can you describe your experience with Hadoop ecosystem components?
  • How do you optimize MapReduce jobs for performance?
  • What strategies do you use to ensure data quality and integrity?
  • Can you provide an example of a complex ETL process you have developed?
  • How do you stay current with the latest trends and technologies in big data?
  • Describe a challenging problem you faced in a previous Hadoop project and how you resolved it.
  • How do you approach data security in Hadoop environments?
  • What is your experience with cloud platforms like AWS, Azure, or Google Cloud?
  • How do you handle data integration from multiple sources?
  • Can you discuss your experience with version control systems such as Git?
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