Big Data Engineer/Architect with AWS Expertise

Comtech LLCSeattle

On-site Contract

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Experience Level

Mid to Senior

Qualifications

Qualifications:8-10 years of experience in software development with a strong focus on Java. At least 3 years of hands-on experience in Big Data technologies. Proven experience with AWS services, particularly Amazon EMR. Experience in CI/CD automation and pipeline development. Knowledge of containerization tools like Docker and orchestration with Terraform is beneficial.

About the job

Position: Big Data Engineer / Architect with AWS Expertise

Location: Seattle, WA or Orlando, FL

Duration: 6 months (extendable)

Job Overview:

We are seeking a talented Big Data Engineer/Architect with a strong background in AWS to assist in the development of our Data Management Cloud Platform. The ideal candidate will possess extensive experience in Java, AWS Cloud technologies, and Big Data/Data Management principles.

Key Responsibilities:

Collaborate with cross-functional teams to design and implement scalable data management solutions.
Utilize your expertise in Java and AWS to enhance our cloud platform.
Develop and automate CI/CD pipelines to streamline deployment processes.
Work with Amazon EMR and related technologies to configure and optimize data processing pipelines.

Technical Skills Required:

8-10 years of experience in Core Java, with at least 3 years dedicated to Big Data technologies.
Familiarity with Docker, Terraform, Jenkins, and Python is a plus.
Deep understanding of streaming architectures and tools, including Kafka, with proficiency in Scala, Java, or Python.
Experience in building high-availability configurations and conducting thorough testing.

About Comtech LLC

Comtech LLC is a woman-owned small business dedicated to delivering comprehensive solutions and products since 1998. We serve both public and private sectors, including the Department of Defense, with a commitment to innovation and transformation. Our founder, Shailendra Sharma, emphasizes simplifying solutions to solve everyday problems, aiming to empower organizations through technical innovations that enhance decision-making and drive business transformations.

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