Inno Protech

2 weeks ago

Chennai, India Inno Protech Solutions Private Limited Full time

Job Description :


A Hadoop developer is a professional who specializes in working with Hadoop, an open-source framework for distributed storage and processing of large data sets. Hadoop is designed to handle big data applications and provides a scalable, reliable, and distributed computing environment.


Here are some key responsibilities and skills associated with a Hadoop :

  • Developing Hadoop Applications: Create, design, and implement Hadoop-based solutions for big data processing.
  • Programming: Write and optimize code, often in languages such as Java, Python, or Scala, to develop applications that run on the Hadoop framework.
  • Data Ingestion: Ingesting and processing large volumes of data from various sources into the Hadoop ecosystem.
  • Data Transformation and Analysis: Perform data transformations and analysis using tools like Apache Hive, Apache Pig, or Apache Spark.
  • Job Monitoring and Optimization: Monitor Hadoop cluster performance and optimize jobs for better efficiency.
  • Troubleshooting: Identify and resolve issues related to data processing, job failures, and overall system performance.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand business requirements and provide effective solutions.
  • Documentation: Create and maintain documentation for Hadoop applications, configurations, and processes.

Skills :

  • Hadoop Ecosystem Knowledge: Deep understanding of the Hadoop ecosystem, including HDFS (Hadoop Distributed File System), MapReduce, and related technologies.
  • Programming Languages: Proficiency in programming languages commonly used in the Hadoop ecosystem, such as Java, Python, or Scala.
  • Data Processing Tools: Experience with tools like Apache Hive, Apache Pig, Apache Spark, and Apache HBase for data processing and analysis.
  • Cluster Management: Familiarity with Hadoop cluster management tools like Apache Ambari or Cloudera Manager.
  • SQL: Strong SQL skills for querying and manipulating data stored in Hadoop.
  • Data Modeling: Understanding of data modeling concepts for designing efficient data storage and retrieval.
  • Linux/Unix: Comfortable working in a Linux/Unix environment, as Hadoop typically runs on these operating systems.
  • Problem-Solving: Strong analytical and problem-solving skills to troubleshoot issues and optimize processes.
  • Version Control Systems: Knowledge of version control systems like Git for managing code.
  • Communication: Good communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.

To become a Hadoop developer, you may need to gain relevant education, certifications, and practical experience. Familiarity with other big data technologies and cloud platforms is also beneficial in today's diverse data ecosystem.

(ref:hirist.tech)

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