Cloud Big Data Engineer — Scale & Insight in the Cloud

Cymertek Corporation; Honolulu (HI); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Work Schedule

Medical/Dental/Vision

Paid Training

Referral bonus program

Job summary

Cymertek Corporation in Honolulu, HI is seeking a Cloud Big Data Software Engineer to design and implement cloud-based big data solutions. You will build scalable data pipelines, work with Python/Java, and leverage AWS/Azure/GCP to process large datasets.

The ideal candidate has a Bachelor's degree in CS/Data Science or related field, strong knowledge of Hadoop/Spark/Kafka, and experience with distributed systems. This role offers a collaborative environment and competitive benefits.

Qualifications

• Bachelor's degree in a related field (CS/Data Science/Engineering).
• Strong programming skills in Python or Java and experience with cloud platforms.
• Experience building cloud-based big data pipelines and distributed systems.

Responsibilities

• Design and implement big data solutions in cloud environments.
• Develop and maintain data pipelines for large-scale processing.
• Optimize system performance and scalability.
• Collaborate with data teams to define requirements and solutions.
• Ensure data security and compliance standards are met.
• Document system architecture and workflows.

Skills

Python

Java

Big data

Distributed systems

SQL

NoSQL

Docker

AWS/Azure/GCP

Education

Bachelor's Degree

Tools

Hadoop

Spark

Kafka

Docker

Job description

Cymertek Corporation in Honolulu, HI is seeking a Cloud Big Data Software Engineer to design and implement cloud-based big data solutions. You will build scalable data pipelines, work with Python/Java, and leverage AWS/Azure/GCP to process large datasets.

The ideal candidate has a Bachelor's degree in CS/Data Science or related field, strong knowledge of Hadoop/Spark/Kafka, and experience with distributed systems. This role offers a collaborative environment and competitive benefits.