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Java Big Data Consultant with AWS Expertise

On-site Contract

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Experience Level

Mid to Senior

Qualifications

Essential Skills:Proficient in Core Java (8-10 years). In-depth knowledge of AWS Cloud services and Big Data technologies. Hands-on experience with automation and CI/CD pipeline development. Experience with streaming tools (Kafka, Scala, etc.) and Spark. Understanding of Amazon EMR and related technologies.

About the job

We are seeking a talented Java Big Data Consultant with strong expertise in AWS to join our dynamic team. This role is focused on building a robust Data Management Cloud Platform. The ideal candidate will possess extensive experience in Java, AWS Cloud, and Big Data/Data Management, along with a solid understanding of automation and CI/CD pipelines.

Key Responsibilities:

  • Develop and enhance the Data Management Cloud Platform.
  • Utilize Java, AWS, and Big Data technologies effectively.
  • Implement automation solutions and build CI/CD pipelines.

Qualifications:

  • 8-10 years of experience in Core Java, with at least 3 years in Big Data.
  • Familiarity with Amazon EMR, configuration, nodes, pipeline building, and security.
  • Knowledge of streaming architecture and programming skills, including tools like Kafka, Scala, and Lambda Spark jobs.
  • Experience with Docker, Terraform, Jenkins, and Python is a plus.

Note: Candidates should have experience with streaming use cases for 3-4 years or have worked with high-velocity, high-volume data processing using Spark, Scala, and Kafka.

About Comtech LLC

Comtech LLC is a woman-owned small business established in 1998 and headquartered in Reston, VA. We specialize in providing innovative IT solutions in program/project management, applications development, infrastructure, cybersecurity, and enterprise content/data management services. Our methodologies are based on the IT Infrastructure Library (ITIL) v.3 Framework, supported by our certifications including ISO 9001:2008, ISO/IEC 20000-1:2011, ISO 27001:2005, and CMMI-DEV Level 3.

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