Sr Big Data Engineer (GCP)

About the Role:

We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing and scaling both stream and batch processing systems and a solid understanding of public cloud technologies especially GCP. This role involves working in a remote environment requiring excellent communication skills and the ability to solve complex problems independently and creatively.

What you will be doing

Build a reusable and reliable code for stream and batch processing systems at scale. This includes working with technologies like Pub/Sub Kafka Kinesis DataFlow Flink Hadoop Pig Hive and Spark. Implementing automation/DevOps best practices for CI/CD IaC Containerization etc.

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. 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.

• Has 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. 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 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.

Must Have:

• 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

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges designing solutions that scale building and managing those solutions and optimizing returns into the future. Named a best place to work year after year according to Fortune Forbes and Glassdoor we attract and develop world-class talent. Join us on our mission to embrace technology empower customers and deliver the future.

More on Rackspace Technology

Though we’re all different Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age color disability gender reassignment or identity or expression genetic information marital or civil partner status pregnancy or maternity status military or veteran status nationality ethnic or national origin race religion or belief sexual orientation or any legally protected characteristic. If you have a disability or special need that requires accommodation please let us know.