Key Responsibilities:

Design, develop, and implement Hadoop-based applications using Java, Python, or Scala
Integrate data from various sources into the Hadoop ecosystem
Develop data pipelines to extract, transform, and load data into Hadoop
Optimize and tune Hadoop clusters for maximum performance
Monitor and troubleshoot Hadoop jobs and clusters
Collaborate with data analysts to understand data requirements and develop data models
Work with business stakeholders to identify and address data quality issues
Ensure data security and compliance with industry standards and regulations
Develop and maintain technical documentation for Hadoop applications and processes
Stay updated with the latest Hadoop tools, technologies, and best practices
Mentor and guide junior developers in Hadoop development best practices

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field
Minimum of 3 years of experience in Hadoop development
Strong knowledge of Hadoop ecosystem components such as HDFS, MapReduce, Hive, Pig, Spark, etc.
Proficient in programming languages such as Java, Python, or Scala
Experience with data warehousing and data modeling concepts
Familiarity with ETL tools and techniques
Experience with cloud-based Hadoop platforms such as AWS, Azure, or Google Cloud
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Ability to work in a fast-paced and dynamic environment
Proven ability to deliver projects within tight deadlines
Experience with Agile development methodologies is a plus
Hadoop certification is a plus

If you have a passion for data and a drive to continuously learn and grow, we want to hear from you! Apply now and take the next step in your career as a Hadoop Developer.

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