Sr Big Data Infrastructure Engineer (GCP)

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Job Overview

The Sr Big Data Infrastructure Engineer (GCP) at Rackspace Technology will play a pivotal role in designing, implementing, and maintaining the big data infrastructure on Google Cloud Platform (GCP). This position requires a strategic thinker who can ensure robust data workflows and high-performance systems that support company-wide analytics and data-driven decision-making. The successful candidate will collaborate with cross-functional teams to optimize data solutions that improve business processes while maintaining security and compliance standards.

Job Responsibilities

• Design and implement scalable big data solutions on Google Cloud Platform to support data storage and processing requirements.
• Collaborate with data engineering teams to optimize data pipelines and ETL processes for efficiency and reliability.
• Monitor performance, troubleshoot, and resolve infrastructure-related issues to ensure high availability of services.
• Establish best practices for data governance, security, compliance, and documentation across the infrastructure.
• Work with software development teams to integrate big data solutions with existing applications and systems.
• Participate in capacity planning and forecasting related to data infrastructure usage and performance needs.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• Minimum 5 years of experience in big data infrastructure engineering, with at least 3 years on Google Cloud Platform.
• Proficiency in big data technologies such as Apache Hadoop, Spark, and Kafka.
• Strong knowledge of SQL and NoSQL databases, including BigQuery and Cloud Spanner.
• Experience with infrastructure as code (IaC) tools such as Terraform or Cloud Deployment Manager.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
• Excellent analytical problem-solving skills and attention to detail.
• Strong verbal and written communication skills to articulate technical concepts to non-technical stakeholders.

Technologies & Tools

The Sr Big Data Infrastructure Engineer will utilize a range of advanced technologies and tools, including but not limited to Google Cloud Platform services like BigQuery, Cloud Storage, and Dataflow, as well as big data frameworks such as Hadoop and Spark. Additionally, containerization tools like Docker and orchestration platforms such as Kubernetes will be leveraged for deploying and managing applications efficiently. Familiarity with monitoring and logging tools such as Stackdriver will also be essential in maintaining system performance and reliability.

Ideal Candidates

The ideal candidates for the Sr Big Data Infrastructure Engineer position will demonstrate a proactive mindset and a passion for data technologies. They are strategic thinkers with a solid foundation in cloud infrastructure and possess strong teamwork skills to effectively collaborate with diverse teams. Candidates should be adept at solving complex problems, showcasing adaptability in navigating dynamic environments. A commitment to continuous learning and innovation will also align with Rackspace Technology's culture of excellence and growth.