Rackspace Technology is hiring a
Sr Big Data Engineer in United States

Summary

We are seeking a Senior Big Data Engineer with 4+ years of experience in customer-facing software/technology or consulting, and a technical degree. The role involves building reusable and reliable code for stream and batch processing systems at scale using technologies like Pub/Sub, Kafka, Kinesis, DataFlow, Flink, Hadoop, Pig, Hive, and Spark. The position is remote and requires excellent communication skills.

Requirements

• Experience in building a reusable, and reliable code for stream and batch processing systems at scale
• Expertise in public cloud services, particularly in GCP
• Experience with GCP managed services and understanding of cloud-based messaging/stream processing systems are critical
• Experienced in Infrastructure and Applied DevOps principles in daily work
• Knowledge in containerization technologies such as Docker and Kubernetes to enhance the scalability and efficiency of applications
• Ability to tackle complex challenges and devise effective solutions
• Worked effectively in a remote setting, maintaining strong written and verbal communication skills
• Proven experience in engineering stream/batch processing systems at scale
• Strong programming abilities in Java and Python
• Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous
• Google Associate Cloud Engineer Certification or other Google Cloud Professional level certification
• 4+ years of experience in customer-facing software/technology or consulting
• 4+ years of experience with ‘on-premises to cloud’ migrations or IT transformations
• 4+ years of experience building, and operating solutions built on GCP (ideally) or AWS/Azure
• Technical degree: Computer Science, software engineering or related

Responsibilities

• Build a reusable, and reliable code for stream and batch processing systems at scale
• Implement automation/DevOps best practices for CI/CD, IaC, Containerization, etc