Containerization : Familiarity with Docker and Kubernetes
Automation : Experience with Python-based automation
Description :
We are seeking a skilled Hadoop Engineer to join our team. In this role, you will leverage your programming expertise in Scala, Python, or Java to develop and maintain middleware services on Spark, Hadoop, or MapR platforms. You will also contribute to the design and implementation of data processing pipelines, ensuring efficient and scalable solutions.
Responsibilities :
Design, develop, and maintain middleware services using Spark, Hadoop, or MapR.
Write and optimize code in Scala, Python, or Java.
Implement data processing pipelines and workflows.
Collaborate with cross-functional teams to gather requirements and deliver solutions.
Troubleshoot and resolve issues related to data processing and middleware services.
Stay updated on the latest Big Data technologies and best practices.
Qualifications :
4 years of Software Engineering experience or equivalent demonstrated through one or a combination of the following : work experience, consulting experience, training, military experience, or education.
Strong programming skills in Scala, Python, or Java.
Hands-on experience with Spark, Hadoop, or MapR.
Understanding of cloud computing concepts and technologies.
Familiarity with Docker and Kubernetes is a plus.
Experience with Python-based automation is a plus.
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a Hadoop Engineer?
Sign up to receive alerts about other jobs on the Hadoop Engineer career path by checking the boxes next to the positions that interest you.