PySpark Developer

3 months ago

Hyderabad, India Chiselon Technologies Pvt Ltd Full time

#Hiring Alert#


We are looking for our client


Job Title: PySpark Developer

Location: Remote

Job Type: Full-Time

Experience: 5 7 years

Notice Period: Immediate Joiner, Currently Serving Notice period


Qualifications and Skills

  • Proficiency in Python (Mandatory skill) with a strong understanding of its libraries and frameworks.
  • Experience with PySpark (Mandatory skill) and working on Big data technologies (Mandatory skill).
  • Strong knowledge of cloud platforms including AWS and Azure, to develop and maintain scalable applications.
  • Proficiency in SQL for querying databases and performing data manipulations.
  • Hands-on experience with Apache Spark to manage large-scale data processing.
  • Familiarity with the Hadoop ecosystem and its components.
  • Capacity to troubleshoot and optimize large-scale distributed data processing jobs.
  • Ability to work effectively in a remote team environment, demonstrating strong communication skills.


Roles and Responsibilities

  • Develop, test, and maintain scalable data processing applications using PySpark and Big data technologies.
  • Optimize and troubleshoot complex data processing workflows to ensure high performance and reliability.
  • Collaborate with cross-functional teams to design and implement intricate data pipelines.
  • Participate in architectural discussions to ensure the solutions are scalable and performant.
  • Work with cloud platforms like AWS and Azure to deploy and maintain data solutions.
  • Provide ongoing maintenance, support, and enhancements in existing systems and platforms.
  • Document code and processes to enhance maintainability and knowledge sharing.
  • Stay current with the latest industry trends and technologies to bring innovative solutions to the team.



Interested share your updated resume here - recruitment2@chiselontechnologies.com



#Python #Pyspark #AWS #SQL #ApacheSpark #Hadoop #Big data Technologies #Azure



Thanks In Advance

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