Key Responsibilities:

Design, develop, and maintain Mapreduce jobs to process large volumes of data.
Collaborate with cross-functional teams to understand data needs and identify requirements for Mapreduce jobs.
Troubleshoot and debug issues with existing Mapreduce jobs to ensure smooth data processing.
Optimize Mapreduce jobs for better performance and scalability.
Develop and maintain best practices for Mapreduce code and job execution.
Monitor Mapreduce jobs and provide timely resolution to any issues.
Stay updated with the latest trends and technologies in the field of Mapreduce and big data processing.
Continuously improve existing Mapreduce processes to increase efficiency and reduce processing time.
Work closely with data scientists and analysts to understand their requirements and provide data solutions using Mapreduce.
Document Mapreduce code and processes for future reference.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Minimum of 3 years of experience in Mapreduce development and optimization.
Strong understanding of Mapreduce concepts and workflows.
Proficient in programming languages such as Java, Python, or Scala.
Experience with big data technologies such as Hadoop, Hive, and Spark.
Knowledge of data processing and ETL tools.
Familiarity with cloud computing platforms such as AWS, GCP, or Azure.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work in a fast-paced and dynamic environment.
Attention to detail and ability to deliver high-quality work under tight deadlines.

Join our team and be a part of our mission to drive data innovation and provide valuable insights to our clients.

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