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Scala Developer with Spark and AWS

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Job Location drjobs

Carol - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Note: Need a Strong Scala Developer with Spark and AWS


Role: Scala Developer with Spark and AWS

Location: South Carolina

Mode: hybrid 2 days a week

Position Summary: We are seeking a highly skilled Scala Developer with extensive experience in Spark and AWS to design develop and maintain highperformance data processing systems. The ideal candidate will have a strong background in big data technologies and cloud computing with a passion for building scalable and efficient data solutions.

Key Responsibilities:

  • Design develop and maintain scalable data processing applications using Scala and Apache Spark.
  • Collaborate with crossfunctional teams to define design and deliver new features and enhancements.
  • Develop and implement data pipelines on AWS leveraging services such as S3 EMR Lambda and Redshift.
  • Optimize and tune Spark applications for performance and scalability.
  • Write clean maintainable and welldocumented code.
  • Troubleshoot and resolve issues related to data processing and application performance.
  • Participate in code reviews and provide constructive feedback to team members.
  • Stay uptodate with the latest industry trends and technologies in big data and cloud computing.

Required Qualifications:

  • 6 years of experience in software development with a focus on Scala and Spark.
  • Proven experience with AWS services such as S3 EMR Lambda Redshift etc.
  • Strong understanding of distributed computing principles and big data technologies.
  • Experience with data processing frameworks and tools (e.g. Hadoop Hive Kafka).
  • Proficiency in SQL and experience with relational and NoSQL databases.
  • Excellent problemsolving skills and the ability to work independently or as part of a team.

Preferred Qualifications:

  • Masters degree in Computer Science Engineering or a related field.
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience with machine learning frameworks and libraries.
  • Knowledge of other programming languages such as Python or Java.

Employment Type

Full Time

Company Industry

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