Rackspace Technology is hiring a
Senior Big Data Hadoop ML Engineer

Summary

The job description is for a Senior Big Data Engineer role at Rackspace Technology. The ideal candidate will have extensive experience in the Apache Hadoop ecosystem, Java, Python, Spark, and GCP. This remote position requires the ability to develop scalable and robust code for large scale batch processing systems, manage and maintain batch pipelines supporting Machine Learning workloads, and implement automation/DevOps best practices.

Requirements

• Proficiency in the Hadoop ecosystem with Map Reduce, Oozie, Hive, Pig, HBase, Storm
• Strong programming skills with Java, Python, and Spark
• Knowledge in public cloud services, particularly in GCP
• Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes
• Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions
• Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals
• Proven experience in engineering batch processing systems at scale
• Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous
• Experience with batch pipelines supporting Machine Learning workloads
• Strong experience in programming language such as Java
• 10+ years of experience in customer-facing software/technology or consulting
• 5+ years of experience with ‘on-premises to cloud’ migrations or IT transformations
• Technical degree: Computer Science, Software Engineering or related

Responsibilities

• Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase
• Develop, manage, and maintain batch pipelines supporting Machine Learning workloads
• Leverage GCP for scalable big data processing and storage solutions
• Implementing automation/DevOps best practices for CI/CD, IaC, etc

Preferred Qualifications

• Familiarity with Terraform
• Familiarity with Python
• 5+ years of experience building, and operating solutions built on GCP